Merge branch 'main' into add-search-for-github
This commit is contained in:
Raduan A.
GitHub
commit
fe2a5ea14f
30 changed files with 2307 additions and 149 deletions
|
|
@ -88,7 +88,7 @@ Documentation improvements are always welcome:
|
|||
|
||||
## Community
|
||||
|
||||
- Participate in [GitHub Discussions](https://github.com/modelcontextprotocol/servers/discussions)
|
||||
- Participate in [GitHub Discussions](https://github.com/orgs/modelcontextprotocol/discussions)
|
||||
- Follow the [Code of Conduct](CODE_OF_CONDUCT.md)
|
||||
|
||||
## Questions?
|
||||
|
|
@ -96,4 +96,4 @@ Documentation improvements are always welcome:
|
|||
- Check the [documentation](https://modelcontextprotocol.io)
|
||||
- Ask in GitHub Discussions
|
||||
|
||||
Thank you for contributing to MCP Servers!
|
||||
Thank you for contributing to MCP Servers!
|
||||
|
|
|
|||
|
|
@ -21,6 +21,11 @@ Each MCP server is implemented with either the [Typescript MCP SDK](https://gith
|
|||
- **[Google Maps](src/google-maps)** - Location services, directions, and place details
|
||||
- **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage
|
||||
|
||||
## 🌎 Community Servers
|
||||
|
||||
- **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
|
||||
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account
|
||||
|
||||
## 🚀 Getting Started
|
||||
|
||||
### Using MCP Servers in this Repository
|
||||
|
|
|
|||
|
|
@ -26,6 +26,8 @@
|
|||
"@modelcontextprotocol/server-slack": "*",
|
||||
"@modelcontextprotocol/server-brave-search": "*",
|
||||
"@modelcontextprotocol/server-memory": "*",
|
||||
"@modelcontextprotocol/server-filesystem": "*"
|
||||
"@modelcontextprotocol/server-filesystem": "*",
|
||||
"@modelcontextprotocol/server-everart": "*",
|
||||
"@modelcontextprotocol/server-sequentialthinking": "*"
|
||||
}
|
||||
}
|
||||
|
|
|
|||
73
src/everart/README.md
Normal file
73
src/everart/README.md
Normal file
|
|
@ -0,0 +1,73 @@
|
|||
# EverArt MCP Server
|
||||
|
||||
Image generation server for Claude Desktop using EverArt's API.
|
||||
|
||||
## Install
|
||||
```bash
|
||||
npm install
|
||||
export EVERART_API_KEY=your_key_here
|
||||
```
|
||||
|
||||
## Config
|
||||
Add to Claude Desktop config:
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"everart": {
|
||||
"command": "npx",
|
||||
"args": ["-y", "@modelcontextprotocol/server-everart"],
|
||||
"env": {
|
||||
"EVERART_API_KEY": "your_key_here"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Tools
|
||||
|
||||
### generate_image
|
||||
Generates images with multiple model options. Opens result in browser and returns URL.
|
||||
|
||||
Parameters:
|
||||
```typescript
|
||||
{
|
||||
prompt: string, // Image description
|
||||
model?: string, // Model ID (default: "207910310772879360")
|
||||
image_count?: number // Number of images (default: 1)
|
||||
}
|
||||
```
|
||||
|
||||
Models:
|
||||
- 5000: FLUX1.1 (standard)
|
||||
- 9000: FLUX1.1-ultra
|
||||
- 6000: SD3.5
|
||||
- 7000: Recraft-Real
|
||||
- 8000: Recraft-Vector
|
||||
|
||||
All images generated at 1024x1024.
|
||||
|
||||
Sample usage:
|
||||
```javascript
|
||||
const result = await client.callTool({
|
||||
name: "generate_image",
|
||||
arguments: {
|
||||
prompt: "A cat sitting elegantly",
|
||||
model: "7000",
|
||||
image_count: 1
|
||||
}
|
||||
});
|
||||
```
|
||||
|
||||
Response format:
|
||||
```
|
||||
Image generated successfully!
|
||||
The image has been opened in your default browser.
|
||||
|
||||
Generation details:
|
||||
- Model: 7000
|
||||
- Prompt: "A cat sitting elegantly"
|
||||
- Image URL: https://storage.googleapis.com/...
|
||||
|
||||
You can also click the URL above to view the image again.
|
||||
```
|
||||
160
src/everart/index.ts
Normal file
160
src/everart/index.ts
Normal file
|
|
@ -0,0 +1,160 @@
|
|||
#!/usr/bin/env node
|
||||
import EverArt from "everart";
|
||||
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
|
||||
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
|
||||
import {
|
||||
CallToolRequestSchema,
|
||||
ListToolsRequestSchema,
|
||||
ListResourcesRequestSchema,
|
||||
ReadResourceRequestSchema,
|
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} from "@modelcontextprotocol/sdk/types.js";
|
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import fetch from "node-fetch";
|
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import open from "open";
|
||||
|
||||
const server = new Server(
|
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{
|
||||
name: "example-servers/everart",
|
||||
version: "0.2.0",
|
||||
},
|
||||
{
|
||||
capabilities: {
|
||||
tools: {},
|
||||
resources: {}, // Required for image resources
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
if (!process.env.EVERART_API_KEY) {
|
||||
console.error("EVERART_API_KEY environment variable is not set");
|
||||
process.exit(1);
|
||||
}
|
||||
|
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const client = new EverArt.default(process.env.EVERART_API_KEY);
|
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|
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server.setRequestHandler(ListToolsRequestSchema, async () => ({
|
||||
tools: [
|
||||
{
|
||||
name: "generate_image",
|
||||
description:
|
||||
"Generate images using EverArt Models and returns a clickable link to view the generated image. " +
|
||||
"The tool will return a URL that can be clicked to view the image in a browser. " +
|
||||
"Available models:\n" +
|
||||
"- 5000:FLUX1.1: Standard quality\n" +
|
||||
"- 9000:FLUX1.1-ultra: Ultra high quality\n" +
|
||||
"- 6000:SD3.5: Stable Diffusion 3.5\n" +
|
||||
"- 7000:Recraft-Real: Photorealistic style\n" +
|
||||
"- 8000:Recraft-Vector: Vector art style\n" +
|
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"\nThe response will contain a direct link to view the generated image.",
|
||||
inputSchema: {
|
||||
type: "object",
|
||||
properties: {
|
||||
prompt: {
|
||||
type: "string",
|
||||
description: "Text description of desired image",
|
||||
},
|
||||
model: {
|
||||
type: "string",
|
||||
description:
|
||||
"Model ID (5000:FLUX1.1, 9000:FLUX1.1-ultra, 6000:SD3.5, 7000:Recraft-Real, 8000:Recraft-Vector)",
|
||||
default: "5000",
|
||||
},
|
||||
image_count: {
|
||||
type: "number",
|
||||
description: "Number of images to generate",
|
||||
default: 1,
|
||||
},
|
||||
},
|
||||
required: ["prompt"],
|
||||
},
|
||||
},
|
||||
],
|
||||
}));
|
||||
|
||||
server.setRequestHandler(ListResourcesRequestSchema, async () => {
|
||||
return {
|
||||
resources: [
|
||||
{
|
||||
uri: "everart://images",
|
||||
mimeType: "image/png",
|
||||
name: "Generated Images",
|
||||
},
|
||||
],
|
||||
};
|
||||
});
|
||||
|
||||
server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
|
||||
if (request.params.uri === "everart://images") {
|
||||
return {
|
||||
contents: [
|
||||
{
|
||||
uri: "everart://images",
|
||||
mimeType: "image/png",
|
||||
blob: "", // Empty since this is just for listing
|
||||
},
|
||||
],
|
||||
};
|
||||
}
|
||||
throw new Error("Resource not found");
|
||||
});
|
||||
|
||||
server.setRequestHandler(CallToolRequestSchema, async (request) => {
|
||||
if (request.params.name === "generate_image") {
|
||||
try {
|
||||
const {
|
||||
prompt,
|
||||
model = "207910310772879360",
|
||||
image_count = 1,
|
||||
} = request.params.arguments as any;
|
||||
|
||||
// Use correct EverArt API method
|
||||
const generation = await client.v1.generations.create(
|
||||
model,
|
||||
prompt,
|
||||
"txt2img",
|
||||
{
|
||||
imageCount: image_count,
|
||||
height: 1024,
|
||||
width: 1024,
|
||||
},
|
||||
);
|
||||
|
||||
// Wait for generation to complete
|
||||
const completedGen = await client.v1.generations.fetchWithPolling(
|
||||
generation[0].id,
|
||||
);
|
||||
|
||||
const imgUrl = completedGen.image_url;
|
||||
if (!imgUrl) throw new Error("No image URL");
|
||||
|
||||
// Automatically open the image URL in the default browser
|
||||
await open(imgUrl);
|
||||
|
||||
// Return a formatted message with the clickable link
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: `Image generated successfully!\nThe image has been opened in your default browser.\n\nGeneration details:\n- Model: ${model}\n- Prompt: "${prompt}"\n- Image URL: ${imgUrl}\n\nYou can also click the URL above to view the image again.`,
|
||||
},
|
||||
],
|
||||
};
|
||||
} catch (error: unknown) {
|
||||
console.error("Detailed error:", error);
|
||||
const errorMessage =
|
||||
error instanceof Error ? error.message : "Unknown error";
|
||||
return {
|
||||
content: [{ type: "text", text: `Error: ${errorMessage}` }],
|
||||
isError: true,
|
||||
};
|
||||
}
|
||||
}
|
||||
throw new Error(`Unknown tool: ${request.params.name}`);
|
||||
});
|
||||
|
||||
async function runServer() {
|
||||
const transport = new StdioServerTransport();
|
||||
await server.connect(transport);
|
||||
console.error("EverArt MCP Server running on stdio");
|
||||
}
|
||||
|
||||
runServer().catch(console.error);
|
||||
32
src/everart/package.json
Normal file
32
src/everart/package.json
Normal file
|
|
@ -0,0 +1,32 @@
|
|||
{
|
||||
"name": "@modelcontextprotocol/server-everart",
|
||||
"version": "0.1.0",
|
||||
"description": "MCP server for EverArt API integration",
|
||||
"license": "MIT",
|
||||
"author": "Anthropic, PBC (https://anthropic.com)",
|
||||
"homepage": "https://modelcontextprotocol.io",
|
||||
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
|
||||
"type": "module",
|
||||
"bin": {
|
||||
"mcp-server-everart": "dist/index.js"
|
||||
},
|
||||
"files": [
|
||||
"dist"
|
||||
],
|
||||
"scripts": {
|
||||
"build": "tsc && shx chmod +x dist/*.js",
|
||||
"prepare": "npm run build",
|
||||
"watch": "tsc --watch"
|
||||
},
|
||||
"dependencies": {
|
||||
"@modelcontextprotocol/sdk": "0.5.0",
|
||||
"everart": "^1.0.0",
|
||||
"node-fetch": "^3.3.2",
|
||||
"open": "^9.1.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^20.11.0",
|
||||
"shx": "^0.3.4",
|
||||
"typescript": "^5.3.3"
|
||||
}
|
||||
}
|
||||
10
src/everart/tsconfig.json
Normal file
10
src/everart/tsconfig.json
Normal file
|
|
@ -0,0 +1,10 @@
|
|||
{
|
||||
"extends": "../../tsconfig.json",
|
||||
"compilerOptions": {
|
||||
"outDir": "./dist",
|
||||
"rootDir": "."
|
||||
},
|
||||
"include": [
|
||||
"./**/*.ts"
|
||||
]
|
||||
}
|
||||
|
|
@ -2,20 +2,27 @@
|
|||
|
||||
A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.
|
||||
|
||||
Presently the server only supports fetching HTML content.
|
||||
The fetch tool will truncate the response, but by using the `start_index` argument, you can specify where to start the content extraction. This lets models read a webpage in chunks, until they find the information they need.
|
||||
|
||||
### Available Tools
|
||||
|
||||
- `fetch` - Fetches a URL from the internet and extracts its contents as markdown.
|
||||
- `url` (string, required): URL to fetch
|
||||
- `max_length` (integer, optional): Maximum number of characters to return (default: 5000)
|
||||
- `start_index` (integer, optional): Start content from this character index (default: 0)
|
||||
- `raw` (boolean, optional): Get raw content without markdown conversion (default: false)
|
||||
|
||||
### Prompts
|
||||
|
||||
- **fetch**
|
||||
- Fetch a URL and extract its contents as markdown
|
||||
- Argument: `url` (string, required): URL to fetch
|
||||
- Arguments:
|
||||
- `url` (string, required): URL to fetch
|
||||
|
||||
## Installation
|
||||
|
||||
Optionally: Install node.js, this will cause the fetch server to use a different HTML simplifier that is more robust.
|
||||
|
||||
### Using uv (recommended)
|
||||
|
||||
When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will
|
||||
|
|
@ -67,36 +74,6 @@ Add to your Claude settings:
|
|||
```
|
||||
</details>
|
||||
|
||||
### Configure for Zed
|
||||
|
||||
Add to your Zed settings.json:
|
||||
|
||||
<details>
|
||||
<summary>Using uvx</summary>
|
||||
|
||||
```json
|
||||
"context_servers": [
|
||||
"mcp-server-fetch": {
|
||||
"command": "uvx",
|
||||
"args": ["mcp-server-fetch"]
|
||||
}
|
||||
],
|
||||
```
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Using pip installation</summary>
|
||||
|
||||
```json
|
||||
"context_servers": {
|
||||
"mcp-server-fetch": {
|
||||
"command": "python",
|
||||
"args": ["-m", "mcp_server_fetch"]
|
||||
}
|
||||
},
|
||||
```
|
||||
</details>
|
||||
|
||||
### Customization - robots.txt
|
||||
|
||||
By default, the server will obey a websites robots.txt file if the request came from the model (via a tool), but not if
|
||||
|
|
@ -105,7 +82,7 @@ the request was user initiated (via a prompt). This can be disabled by adding th
|
|||
|
||||
### Customization - User-agent
|
||||
|
||||
By default, depending on if the request came from the model (via a tool), or was user initiated (via a prompt), the
|
||||
By default, depending on if the request came from the model (via a tool), or was user initiated (via a prompt), the
|
||||
server will use either the user-agent
|
||||
```
|
||||
ModelContextProtocol/1.0 (Autonomous; +https://github.com/modelcontextprotocol/servers)
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
[project]
|
||||
name = "mcp-server-fetch"
|
||||
version = "0.1.2"
|
||||
version = "0.6.1"
|
||||
description = "A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
from typing import Optional
|
||||
from typing import Annotated, Tuple
|
||||
from urllib.parse import urlparse, urlunparse
|
||||
|
||||
import markdownify
|
||||
|
|
@ -17,24 +17,42 @@ from mcp.types import (
|
|||
INTERNAL_ERROR,
|
||||
)
|
||||
from protego import Protego
|
||||
from pydantic import BaseModel, Field
|
||||
from pydantic import BaseModel, Field, AnyUrl
|
||||
|
||||
DEFAULT_USER_AGENT_AUTONOMOUS = "ModelContextProtocol/1.0 (Autonomous; +https://github.com/modelcontextprotocol/servers)"
|
||||
DEFAULT_USER_AGENT_MANUAL = "ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotocol/servers)"
|
||||
|
||||
|
||||
def extract_content(html: str) -> str:
|
||||
ret = readabilipy.simple_json.simple_json_from_html_string(html)
|
||||
if not ret["plain_content"]:
|
||||
def extract_content_from_html(html: str) -> str:
|
||||
"""Extract and convert HTML content to Markdown format.
|
||||
|
||||
Args:
|
||||
html: Raw HTML content to process
|
||||
|
||||
Returns:
|
||||
Simplified markdown version of the content
|
||||
"""
|
||||
ret = readabilipy.simple_json.simple_json_from_html_string(
|
||||
html, use_readability=True
|
||||
)
|
||||
if not ret["content"]:
|
||||
return "<error>Page failed to be simplified from HTML</error>"
|
||||
content = markdownify.markdownify(
|
||||
ret["plain_content"],
|
||||
ret["content"],
|
||||
heading_style=markdownify.ATX,
|
||||
)
|
||||
return content
|
||||
|
||||
|
||||
def get_robots_txt_url(url: str) -> str:
|
||||
"""Get the robots.txt URL for a given website URL.
|
||||
|
||||
Args:
|
||||
url: Website URL to get robots.txt for
|
||||
|
||||
Returns:
|
||||
URL of the robots.txt file
|
||||
"""
|
||||
# Parse the URL into components
|
||||
parsed = urlparse(url)
|
||||
|
||||
|
|
@ -44,10 +62,10 @@ def get_robots_txt_url(url: str) -> str:
|
|||
return robots_url
|
||||
|
||||
|
||||
async def check_may_autonomously_fetch_url(url: str, user_agent: str):
|
||||
async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None:
|
||||
"""
|
||||
Check if the URL can be fetched by the user agent according to the robots.txt file.
|
||||
Raises an McpError if not.
|
||||
Raises a McpError if not.
|
||||
"""
|
||||
from httpx import AsyncClient, HTTPError
|
||||
|
||||
|
|
@ -87,34 +105,85 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str):
|
|||
)
|
||||
|
||||
|
||||
async def fetch_url(url: str, user_agent: str) -> str:
|
||||
async def fetch_url(
|
||||
url: str, user_agent: str, force_raw: bool = False
|
||||
) -> Tuple[str, str]:
|
||||
"""
|
||||
Fetch the URL and return the content in a form ready for the LLM, as well as a prefix string with status information.
|
||||
"""
|
||||
from httpx import AsyncClient, HTTPError
|
||||
|
||||
async with AsyncClient() as client:
|
||||
try:
|
||||
response = await client.get(
|
||||
url, follow_redirects=True, headers={"User-Agent": user_agent}
|
||||
url,
|
||||
follow_redirects=True,
|
||||
headers={"User-Agent": user_agent},
|
||||
timeout=30,
|
||||
)
|
||||
except HTTPError:
|
||||
raise McpError(INTERNAL_ERROR, f"Failed to fetch {url}")
|
||||
except HTTPError as e:
|
||||
raise McpError(INTERNAL_ERROR, f"Failed to fetch {url}: {e!r}")
|
||||
if response.status_code >= 400:
|
||||
raise McpError(
|
||||
INTERNAL_ERROR,
|
||||
f"Failed to fetch {url} - status code {response.status_code}",
|
||||
)
|
||||
|
||||
page_html = response.text
|
||||
page_raw = response.text
|
||||
|
||||
return extract_content(page_html)
|
||||
content_type = response.headers.get("content-type", "")
|
||||
is_page_html = (
|
||||
"<html" in page_raw[:100] or "text/html" in content_type or not content_type
|
||||
)
|
||||
|
||||
if is_page_html and not force_raw:
|
||||
return extract_content_from_html(page_raw), ""
|
||||
|
||||
return (
|
||||
page_raw,
|
||||
f"Content type {content_type} cannot be simplified to markdown, but here is the raw content:\n",
|
||||
)
|
||||
|
||||
|
||||
class Fetch(BaseModel):
|
||||
url: str = Field(..., description="URL to fetch")
|
||||
"""Parameters for fetching a URL."""
|
||||
|
||||
url: Annotated[AnyUrl, Field(description="URL to fetch")]
|
||||
max_length: Annotated[
|
||||
int,
|
||||
Field(
|
||||
default=5000,
|
||||
description="Maximum number of characters to return.",
|
||||
gt=0,
|
||||
lt=1000000,
|
||||
),
|
||||
]
|
||||
start_index: Annotated[
|
||||
int,
|
||||
Field(
|
||||
default=0,
|
||||
description="On return output starting at this character index, useful if a previous fetch was truncated and more context is required.",
|
||||
ge=0,
|
||||
),
|
||||
]
|
||||
raw: Annotated[
|
||||
bool,
|
||||
Field(
|
||||
default=False,
|
||||
description="Get the actual HTML content if the requested page, without simplification.",
|
||||
),
|
||||
]
|
||||
|
||||
|
||||
async def serve(
|
||||
custom_user_agent: Optional[str] = None, ignore_robots_txt: bool = False
|
||||
custom_user_agent: str | None = None, ignore_robots_txt: bool = False
|
||||
) -> None:
|
||||
"""Run the fetch MCP server.
|
||||
|
||||
Args:
|
||||
custom_user_agent: Optional custom User-Agent string to use for requests
|
||||
ignore_robots_txt: Whether to ignore robots.txt restrictions
|
||||
"""
|
||||
server = Server("mcp-fetch")
|
||||
user_agent_autonomous = custom_user_agent or DEFAULT_USER_AGENT_AUTONOMOUS
|
||||
user_agent_manual = custom_user_agent or DEFAULT_USER_AGENT_MANUAL
|
||||
|
|
@ -124,7 +193,7 @@ async def serve(
|
|||
return [
|
||||
Tool(
|
||||
name="fetch",
|
||||
description="""Fetches a URL from the internet and extracts its contents as markdown.
|
||||
description="""Fetches a URL from the internet and optionally extracts its contents as markdown.
|
||||
|
||||
Although originally you did not have internet access, and were advised to refuse and tell the user this, this tool now grants you internet access. Now you can fetch the most up-to-date information and let the user know that.""",
|
||||
inputSchema=Fetch.model_json_schema(),
|
||||
|
|
@ -147,15 +216,25 @@ Although originally you did not have internet access, and were advised to refuse
|
|||
|
||||
@server.call_tool()
|
||||
async def call_tool(name, arguments: dict) -> list[TextContent]:
|
||||
url = arguments.get("url")
|
||||
try:
|
||||
args = Fetch(**arguments)
|
||||
except ValueError as e:
|
||||
raise McpError(INVALID_PARAMS, str(e))
|
||||
|
||||
url = str(args.url)
|
||||
if not url:
|
||||
raise McpError(INVALID_PARAMS, "URL is required")
|
||||
|
||||
if not ignore_robots_txt:
|
||||
await check_may_autonomously_fetch_url(url, user_agent_autonomous)
|
||||
|
||||
content = await fetch_url(url, user_agent_autonomous)
|
||||
return [TextContent(type="text", text=f"Contents of {url}:\n{content}")]
|
||||
content, prefix = await fetch_url(
|
||||
url, user_agent_autonomous, force_raw=args.raw
|
||||
)
|
||||
if len(content) > args.max_length:
|
||||
content = content[args.start_index : args.start_index + args.max_length]
|
||||
content += f"\n\n<error>Content truncated. Call the fetch tool with a start_index of {args.start_index + args.max_length} to get more content.</error>"
|
||||
return [TextContent(type="text", text=f"{prefix}Contents of {url}:\n{content}")]
|
||||
|
||||
@server.get_prompt()
|
||||
async def get_prompt(name: str, arguments: dict | None) -> GetPromptResult:
|
||||
|
|
@ -165,7 +244,7 @@ Although originally you did not have internet access, and were advised to refuse
|
|||
url = arguments["url"]
|
||||
|
||||
try:
|
||||
content = await fetch_url(url, user_agent_manual)
|
||||
content, prefix = await fetch_url(url, user_agent_manual)
|
||||
# TODO: after SDK bug is addressed, don't catch the exception
|
||||
except McpError as e:
|
||||
return GetPromptResult(
|
||||
|
|
@ -181,7 +260,7 @@ Although originally you did not have internet access, and were advised to refuse
|
|||
description=f"Contents of {url}",
|
||||
messages=[
|
||||
PromptMessage(
|
||||
role="user", content=TextContent(type="text", text=content)
|
||||
role="user", content=TextContent(type="text", text=prefix + content)
|
||||
)
|
||||
],
|
||||
)
|
||||
|
|
|
|||
59
src/fetch/uv.lock
generated
59
src/fetch/uv.lock
generated
|
|
@ -182,18 +182,17 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "httpx"
|
||||
version = "0.27.2"
|
||||
version = "0.28.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "anyio" },
|
||||
{ name = "certifi" },
|
||||
{ name = "httpcore" },
|
||||
{ name = "idna" },
|
||||
{ name = "sniffio" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/78/82/08f8c936781f67d9e6b9eeb8a0c8b4e406136ea4c3d1f89a5db71d42e0e6/httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2", size = 144189 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/10/df/676b7cf674dd1bdc71a64ad393c89879f75e4a0ab8395165b498262ae106/httpx-0.28.0.tar.gz", hash = "sha256:0858d3bab51ba7e386637f22a61d8ccddaeec5f3fe4209da3a6168dbb91573e0", size = 141307 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/56/95/9377bcb415797e44274b51d46e3249eba641711cf3348050f76ee7b15ffc/httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0", size = 76395 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8f/fb/a19866137577ba60c6d8b69498dc36be479b13ba454f691348ddf428f185/httpx-0.28.0-py3-none-any.whl", hash = "sha256:dc0b419a0cfeb6e8b34e85167c0da2671206f5095f1baa9663d23bcfd6b535fc", size = 73551 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -298,15 +297,15 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "markdownify"
|
||||
version = "0.13.1"
|
||||
version = "0.14.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "beautifulsoup4" },
|
||||
{ name = "six" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/19/5a/bd1b685ee9efbfb0b22774a30188dfb4048c64e8a6c80a65a7f207af4ea1/markdownify-0.13.1.tar.gz", hash = "sha256:ab257f9e6bd4075118828a28c9d02f8a4bfeb7421f558834aa79b2dfeb32a098", size = 13609 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/1b/75/483a4bcca436fe88d02dc7686c372631d833848951b368700bdc0c770bb7/markdownify-0.14.1.tar.gz", hash = "sha256:a62a7a216947ed0b8dafb95b99b2ef4a0edd1e18d5653c656f68f03db2bfb2f1", size = 14332 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/6c/e9/6e2757a670b8c48bc48eff1c20cb9d71f1476e844038bdbdb76f17e6a12b/markdownify-0.13.1-py3-none-any.whl", hash = "sha256:1d181d43d20902bcc69d7be85b5316ed174d0dda72ff56e14ae4c95a4a407d22", size = 10800 },
|
||||
{ url = "https://files.pythonhosted.org/packages/65/0b/74cec93a7b05edf4fc3ea1c899fe8a37f041d7b9d303c75abf7a162924e0/markdownify-0.14.1-py3-none-any.whl", hash = "sha256:4c46a6c0c12c6005ddcd49b45a5a890398b002ef51380cd319db62df5e09bc2a", size = 11530 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -328,7 +327,7 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "mcp-server-fetch"
|
||||
version = "0.1.2"
|
||||
version = "0.1.3"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "markdownify" },
|
||||
|
|
@ -381,16 +380,16 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "pydantic"
|
||||
version = "2.10.1"
|
||||
version = "2.10.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "annotated-types" },
|
||||
{ name = "pydantic-core" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/c4/bd/7fc610993f616d2398958d0028d15eaf53bde5f80cb2edb7aa4f1feaf3a7/pydantic-2.10.1.tar.gz", hash = "sha256:a4daca2dc0aa429555e0656d6bf94873a7dc5f54ee42b1f5873d666fb3f35560", size = 783717 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/41/86/a03390cb12cf64e2a8df07c267f3eb8d5035e0f9a04bb20fb79403d2a00e/pydantic-2.10.2.tar.gz", hash = "sha256:2bc2d7f17232e0841cbba4641e65ba1eb6fafb3a08de3a091ff3ce14a197c4fa", size = 785401 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/e0/fc/fda48d347bd50a788dd2a0f318a52160f911b86fc2d8b4c86f4d7c9bceea/pydantic-2.10.1-py3-none-any.whl", hash = "sha256:a8d20db84de64cf4a7d59e899c2caf0fe9d660c7cfc482528e7020d7dd189a7e", size = 455329 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d5/74/da832196702d0c56eb86b75bfa346db9238617e29b0b7ee3b8b4eccfe654/pydantic-2.10.2-py3-none-any.whl", hash = "sha256:cfb96e45951117c3024e6b67b25cdc33a3cb7b2fa62e239f7af1378358a1d99e", size = 456364 },
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||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -582,27 +581,27 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.8.0"
|
||||
version = "0.8.1"
|
||||
source = { registry = "https://pypi.org/simple" }
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||||
sdist = { url = "https://files.pythonhosted.org/packages/b2/d6/a2373f3ba7180ddb44420d2a9d1f1510e1a4d162b3d27282bedcb09c8da9/ruff-0.8.0.tar.gz", hash = "sha256:a7ccfe6331bf8c8dad715753e157457faf7351c2b69f62f32c165c2dbcbacd44", size = 3276537 }
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||||
sdist = { url = "https://files.pythonhosted.org/packages/95/d0/8ff5b189d125f4260f2255d143bf2fa413b69c2610c405ace7a0a8ec81ec/ruff-0.8.1.tar.gz", hash = "sha256:3583db9a6450364ed5ca3f3b4225958b24f78178908d5c4bc0f46251ccca898f", size = 3313222 }
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||||
wheels = [
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||||
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||||
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||||
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||||
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||||
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{ url = "https://files.pythonhosted.org/packages/a8/23/9db40fa19c453fabf94f7a35c61c58f20e8200b4734a20839515a19da790/ruff-0.8.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:cd054486da0c53e41e0086e1730eb77d1f698154f910e0cd9e0d64274979a209", size = 9917739 },
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{ url = "https://files.pythonhosted.org/packages/e2/a0/6ee2d949835d5701d832fc5acd05c0bfdad5e89cfdd074a171411f5ccad5/ruff-0.8.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2029b8c22da147c50ae577e621a5bfbc5d1fed75d86af53643d7a7aee1d23871", size = 10779153 },
|
||||
{ url = "https://files.pythonhosted.org/packages/7a/25/9c11dca9404ef1eb24833f780146236131a3c7941de394bc356912ef1041/ruff-0.8.1-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2666520828dee7dfc7e47ee4ea0d928f40de72056d929a7c5292d95071d881d1", size = 10304387 },
|
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{ url = "https://files.pythonhosted.org/packages/c8/b9/84c323780db1b06feae603a707d82dbbd85955c8c917738571c65d7d5aff/ruff-0.8.1-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:333c57013ef8c97a53892aa56042831c372e0bb1785ab7026187b7abd0135ad5", size = 11360351 },
|
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{ url = "https://files.pythonhosted.org/packages/6b/e1/9d4bbb2ace7aad14ded20e4674a48cda5b902aed7a1b14e6b028067060c4/ruff-0.8.1-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:288326162804f34088ac007139488dcb43de590a5ccfec3166396530b58fb89d", size = 12022879 },
|
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{ url = "https://files.pythonhosted.org/packages/75/28/752ff6120c0e7f9981bc4bc275d540c7f36db1379ba9db9142f69c88db21/ruff-0.8.1-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b12c39b9448632284561cbf4191aa1b005882acbc81900ffa9f9f471c8ff7e26", size = 11610354 },
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{ url = "https://files.pythonhosted.org/packages/ba/8c/967b61c2cc8ebd1df877607fbe462bc1e1220b4a30ae3352648aec8c24bd/ruff-0.8.1-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:364e6674450cbac8e998f7b30639040c99d81dfb5bbc6dfad69bc7a8f916b3d1", size = 12813976 },
|
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{ url = "https://files.pythonhosted.org/packages/7f/29/e059f945d6bd2d90213387b8c360187f2fefc989ddcee6bbf3c241329b92/ruff-0.8.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b22346f845fec132aa39cd29acb94451d030c10874408dbf776af3aaeb53284c", size = 11154564 },
|
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{ url = "https://files.pythonhosted.org/packages/55/47/cbd05e5a62f3fb4c072bc65c1e8fd709924cad1c7ec60a1000d1e4ee8307/ruff-0.8.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:b2f2f7a7e7648a2bfe6ead4e0a16745db956da0e3a231ad443d2a66a105c04fa", size = 10760604 },
|
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{ url = "https://files.pythonhosted.org/packages/bb/ee/4c3981c47147c72647a198a94202633130cfda0fc95cd863a553b6f65c6a/ruff-0.8.1-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:adf314fc458374c25c5c4a4a9270c3e8a6a807b1bec018cfa2813d6546215540", size = 10391071 },
|
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{ url = "https://files.pythonhosted.org/packages/6b/e6/083eb61300214590b188616a8ac6ae1ef5730a0974240fb4bec9c17de78b/ruff-0.8.1-py3-none-musllinux_1_2_i686.whl", hash = "sha256:a885d68342a231b5ba4d30b8c6e1b1ee3a65cf37e3d29b3c74069cdf1ee1e3c9", size = 10896657 },
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{ url = "https://files.pythonhosted.org/packages/77/bd/aacdb8285d10f1b943dbeb818968efca35459afc29f66ae3bd4596fbf954/ruff-0.8.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:d2c16e3508c8cc73e96aa5127d0df8913d2290098f776416a4b157657bee44c5", size = 11228362 },
|
||||
{ url = "https://files.pythonhosted.org/packages/39/72/fcb7ad41947f38b4eaa702aca0a361af0e9c2bf671d7fd964480670c297e/ruff-0.8.1-py3-none-win32.whl", hash = "sha256:93335cd7c0eaedb44882d75a7acb7df4b77cd7cd0d2255c93b28791716e81790", size = 8803476 },
|
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{ url = "https://files.pythonhosted.org/packages/e4/ea/cae9aeb0f4822c44651c8407baacdb2e5b4dcd7b31a84e1c5df33aa2cc20/ruff-0.8.1-py3-none-win_amd64.whl", hash = "sha256:2954cdbe8dfd8ab359d4a30cd971b589d335a44d444b6ca2cb3d1da21b75e4b6", size = 9614463 },
|
||||
{ url = "https://files.pythonhosted.org/packages/eb/76/fbb4bd23dfb48fa7758d35b744413b650a9fd2ddd93bca77e30376864414/ruff-0.8.1-py3-none-win_arm64.whl", hash = "sha256:55873cc1a473e5ac129d15eccb3c008c096b94809d693fc7053f588b67822737", size = 8959621 },
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]
|
||||
|
||||
[[package]]
|
||||
|
|
|
|||
|
|
@ -117,8 +117,10 @@ Add to your Zed settings.json:
|
|||
```json
|
||||
"context_servers": [
|
||||
"mcp-server-git": {
|
||||
"command": "uvx",
|
||||
"args": ["mcp-server-git"]
|
||||
"command": {
|
||||
"path": "uvx",
|
||||
"args": ["mcp-server-git"]
|
||||
}
|
||||
}
|
||||
],
|
||||
```
|
||||
|
|
@ -130,8 +132,10 @@ Add to your Zed settings.json:
|
|||
```json
|
||||
"context_servers": {
|
||||
"mcp-server-git": {
|
||||
"command": "python",
|
||||
"args": ["-m", "mcp_server_git"]
|
||||
"command": {
|
||||
"path": "python",
|
||||
"args": ["-m", "mcp_server_git"]
|
||||
}
|
||||
}
|
||||
},
|
||||
```
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
[project]
|
||||
name = "mcp-server-git"
|
||||
version = "0.5.1"
|
||||
version = "0.6.1"
|
||||
description = "A Model Context Protocol server providing tools to read, search, and manipulate Git repositories programmatically via LLMs"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
|
|
@ -18,7 +18,7 @@ classifiers = [
|
|||
dependencies = [
|
||||
"click>=8.1.7",
|
||||
"gitpython>=3.1.43",
|
||||
"mcp>=0.6.0",
|
||||
"mcp>=1.0.0",
|
||||
"pydantic>=2.0.0",
|
||||
]
|
||||
|
||||
|
|
|
|||
|
|
@ -91,8 +91,10 @@ Add to your Zed settings.json:
|
|||
```json
|
||||
"context_servers": [
|
||||
"mcp-server-sentry": {
|
||||
"command": "uvx",
|
||||
"args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
|
||||
"command": {
|
||||
"path": "uvx",
|
||||
"args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
|
||||
}
|
||||
}
|
||||
],
|
||||
```
|
||||
|
|
|
|||
|
|
@ -1,10 +1,10 @@
|
|||
[project]
|
||||
name = "mcp-server-sentry"
|
||||
version = "0.5.1"
|
||||
version = "0.6.1"
|
||||
description = "MCP server for retrieving issues from sentry.io"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = ["mcp>=0.9.1"]
|
||||
dependencies = ["mcp>=1.0.0"]
|
||||
|
||||
[build-system]
|
||||
requires = ["hatchling"]
|
||||
|
|
|
|||
97
src/sentry/uv.lock
generated
97
src/sentry/uv.lock
generated
|
|
@ -88,18 +88,17 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "httpx"
|
||||
version = "0.27.2"
|
||||
version = "0.28.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "anyio" },
|
||||
{ name = "certifi" },
|
||||
{ name = "httpcore" },
|
||||
{ name = "idna" },
|
||||
{ name = "sniffio" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/78/82/08f8c936781f67d9e6b9eeb8a0c8b4e406136ea4c3d1f89a5db71d42e0e6/httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2", size = 144189 }
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|
||||
wheels = [
|
||||
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|
||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -131,7 +130,7 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "mcp"
|
||||
version = "0.9.1"
|
||||
version = "1.0.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "anyio" },
|
||||
|
|
@ -141,14 +140,14 @@ dependencies = [
|
|||
{ name = "sse-starlette" },
|
||||
{ name = "starlette" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e7/1c/932818470ffd49c33509110c835101a8dc4c9cdd06028b9f647fb3dde237/mcp-0.9.1.tar.gz", hash = "sha256:e8509a37c2ab546095788ed170e0fb4d7ce0cf5a3ee56b6449c78af27321a425", size = 78218 }
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wheels = [
|
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||||
{ url = "https://files.pythonhosted.org/packages/56/89/900c0c8445ec001d3725e475fc553b0feb2e8a51be018f3bb7de51e683db/mcp-1.0.0-py3-none-any.whl", hash = "sha256:bbe70ffa3341cd4da78b5eb504958355c68381fb29971471cea1e642a2af5b8a", size = 36361 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "mcp-server-sentry"
|
||||
version = "0.4.1"
|
||||
version = "0.6.0"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "mcp" },
|
||||
|
|
@ -162,7 +161,7 @@ dev = [
|
|||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [{ name = "mcp", specifier = ">=0.9.1" }]
|
||||
requires-dist = [{ name = "mcp", specifier = ">=1.0.0" }]
|
||||
|
||||
[package.metadata.requires-dev]
|
||||
dev = [
|
||||
|
|
@ -200,16 +199,16 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "pydantic"
|
||||
version = "2.10.1"
|
||||
version = "2.10.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "annotated-types" },
|
||||
{ name = "pydantic-core" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/c4/bd/7fc610993f616d2398958d0028d15eaf53bde5f80cb2edb7aa4f1feaf3a7/pydantic-2.10.1.tar.gz", hash = "sha256:a4daca2dc0aa429555e0656d6bf94873a7dc5f54ee42b1f5873d666fb3f35560", size = 783717 }
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|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/e0/fc/fda48d347bd50a788dd2a0f318a52160f911b86fc2d8b4c86f4d7c9bceea/pydantic-2.10.1-py3-none-any.whl", hash = "sha256:a8d20db84de64cf4a7d59e899c2caf0fe9d660c7cfc482528e7020d7dd189a7e", size = 455329 },
|
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{ url = "https://files.pythonhosted.org/packages/d5/74/da832196702d0c56eb86b75bfa346db9238617e29b0b7ee3b8b4eccfe654/pydantic-2.10.2-py3-none-any.whl", hash = "sha256:cfb96e45951117c3024e6b67b25cdc33a3cb7b2fa62e239f7af1378358a1d99e", size = 456364 },
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|
||||
|
||||
[[package]]
|
||||
|
|
@ -319,27 +318,27 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.8.0"
|
||||
version = "0.8.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
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wheels = [
|
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{ url = "https://files.pythonhosted.org/packages/07/10/5af1293da642aded87e8a988753945d0cf7e00a9452d3911dd3bb354c9e2/tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744", size = 243954 },
|
||||
{ url = "https://files.pythonhosted.org/packages/5b/b9/1ed31d167be802da0fc95020d04cd27b7d7065cc6fbefdd2f9186f60d7bd/tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec", size = 98724 },
|
||||
{ url = "https://files.pythonhosted.org/packages/c7/32/b0963458706accd9afcfeb867c0f9175a741bf7b19cd424230714d722198/tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69", size = 109383 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6e/c2/61d3e0f47e2b74ef40a68b9e6ad5984f6241a942f7cd3bbfbdbd03861ea9/tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc", size = 14257 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
|
|||
63
src/sequentialthinking/README.md
Normal file
63
src/sequentialthinking/README.md
Normal file
|
|
@ -0,0 +1,63 @@
|
|||
|
||||
# Sequential Thinking MCP Server
|
||||
|
||||
An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
|
||||
|
||||
## Features
|
||||
|
||||
- Break down complex problems into manageable steps
|
||||
- Revise and refine thoughts as understanding deepens
|
||||
- Branch into alternative paths of reasoning
|
||||
- Adjust the total number of thoughts dynamically
|
||||
- Generate and verify solution hypotheses
|
||||
|
||||
## Tool
|
||||
|
||||
### sequential_thinking
|
||||
|
||||
Facilitates a detailed, step-by-step thinking process for problem-solving and analysis.
|
||||
|
||||
**Inputs:**
|
||||
- `thought` (string): The current thinking step
|
||||
- `nextThoughtNeeded` (boolean): Whether another thought step is needed
|
||||
- `thoughtNumber` (integer): Current thought number
|
||||
- `totalThoughts` (integer): Estimated total thoughts needed
|
||||
- `isRevision` (boolean, optional): Whether this revises previous thinking
|
||||
- `revisesThought` (integer, optional): Which thought is being reconsidered
|
||||
- `branchFromThought` (integer, optional): Branching point thought number
|
||||
- `branchId` (string, optional): Branch identifier
|
||||
- `needsMoreThoughts` (boolean, optional): If more thoughts are needed
|
||||
|
||||
## Usage
|
||||
|
||||
The Sequential Thinking tool is designed for:
|
||||
- Breaking down complex problems into steps
|
||||
- Planning and design with room for revision
|
||||
- Analysis that might need course correction
|
||||
- Problems where the full scope might not be clear initially
|
||||
- Tasks that need to maintain context over multiple steps
|
||||
- Situations where irrelevant information needs to be filtered out
|
||||
|
||||
## Configuration
|
||||
|
||||
### Usage with Claude Desktop
|
||||
|
||||
Add this to your `claude_desktop_config.json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"sequential-thinking": {
|
||||
"command": "npx",
|
||||
"args": [
|
||||
"-y",
|
||||
"@modelcontextprotocol/server-sequential-thinking"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## License
|
||||
|
||||
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
|
||||
278
src/sequentialthinking/index.ts
Normal file
278
src/sequentialthinking/index.ts
Normal file
|
|
@ -0,0 +1,278 @@
|
|||
#!/usr/bin/env node
|
||||
|
||||
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
|
||||
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
|
||||
import {
|
||||
CallToolRequestSchema,
|
||||
ListToolsRequestSchema,
|
||||
Tool,
|
||||
} from "@modelcontextprotocol/sdk/types.js";
|
||||
// Fixed chalk import for ESM
|
||||
import chalk from 'chalk';
|
||||
|
||||
interface ThoughtData {
|
||||
thought: string;
|
||||
thoughtNumber: number;
|
||||
totalThoughts: number;
|
||||
isRevision?: boolean;
|
||||
revisesThought?: number;
|
||||
branchFromThought?: number;
|
||||
branchId?: string;
|
||||
needsMoreThoughts?: boolean;
|
||||
nextThoughtNeeded: boolean;
|
||||
}
|
||||
|
||||
class SequentialThinkingServer {
|
||||
private thoughtHistory: ThoughtData[] = [];
|
||||
private branches: Record<string, ThoughtData[]> = {};
|
||||
|
||||
private validateThoughtData(input: unknown): ThoughtData {
|
||||
const data = input as Record<string, unknown>;
|
||||
|
||||
if (!data.thought || typeof data.thought !== 'string') {
|
||||
throw new Error('Invalid thought: must be a string');
|
||||
}
|
||||
if (!data.thoughtNumber || typeof data.thoughtNumber !== 'number') {
|
||||
throw new Error('Invalid thoughtNumber: must be a number');
|
||||
}
|
||||
if (!data.totalThoughts || typeof data.totalThoughts !== 'number') {
|
||||
throw new Error('Invalid totalThoughts: must be a number');
|
||||
}
|
||||
if (typeof data.nextThoughtNeeded !== 'boolean') {
|
||||
throw new Error('Invalid nextThoughtNeeded: must be a boolean');
|
||||
}
|
||||
|
||||
return {
|
||||
thought: data.thought,
|
||||
thoughtNumber: data.thoughtNumber,
|
||||
totalThoughts: data.totalThoughts,
|
||||
nextThoughtNeeded: data.nextThoughtNeeded,
|
||||
isRevision: data.isRevision as boolean | undefined,
|
||||
revisesThought: data.revisesThought as number | undefined,
|
||||
branchFromThought: data.branchFromThought as number | undefined,
|
||||
branchId: data.branchId as string | undefined,
|
||||
needsMoreThoughts: data.needsMoreThoughts as boolean | undefined,
|
||||
};
|
||||
}
|
||||
|
||||
private formatThought(thoughtData: ThoughtData): string {
|
||||
const { thoughtNumber, totalThoughts, thought, isRevision, revisesThought, branchFromThought, branchId } = thoughtData;
|
||||
|
||||
let prefix = '';
|
||||
let context = '';
|
||||
|
||||
if (isRevision) {
|
||||
prefix = chalk.yellow('🔄 Revision');
|
||||
context = ` (revising thought ${revisesThought})`;
|
||||
} else if (branchFromThought) {
|
||||
prefix = chalk.green('🌿 Branch');
|
||||
context = ` (from thought ${branchFromThought}, ID: ${branchId})`;
|
||||
} else {
|
||||
prefix = chalk.blue('💭 Thought');
|
||||
context = '';
|
||||
}
|
||||
|
||||
const header = `${prefix} ${thoughtNumber}/${totalThoughts}${context}`;
|
||||
const border = '─'.repeat(Math.max(header.length, thought.length) + 4);
|
||||
|
||||
return `
|
||||
┌${border}┐
|
||||
│ ${header} │
|
||||
├${border}┤
|
||||
│ ${thought.padEnd(border.length - 2)} │
|
||||
└${border}┘`;
|
||||
}
|
||||
|
||||
public processThought(input: unknown): { content: Array<{ type: string; text: string }>; isError?: boolean } {
|
||||
try {
|
||||
const validatedInput = this.validateThoughtData(input);
|
||||
|
||||
if (validatedInput.thoughtNumber > validatedInput.totalThoughts) {
|
||||
validatedInput.totalThoughts = validatedInput.thoughtNumber;
|
||||
}
|
||||
|
||||
this.thoughtHistory.push(validatedInput);
|
||||
|
||||
if (validatedInput.branchFromThought && validatedInput.branchId) {
|
||||
if (!this.branches[validatedInput.branchId]) {
|
||||
this.branches[validatedInput.branchId] = [];
|
||||
}
|
||||
this.branches[validatedInput.branchId].push(validatedInput);
|
||||
}
|
||||
|
||||
const formattedThought = this.formatThought(validatedInput);
|
||||
console.error(formattedThought);
|
||||
|
||||
return {
|
||||
content: [{
|
||||
type: "text",
|
||||
text: JSON.stringify({
|
||||
thoughtNumber: validatedInput.thoughtNumber,
|
||||
totalThoughts: validatedInput.totalThoughts,
|
||||
nextThoughtNeeded: validatedInput.nextThoughtNeeded,
|
||||
branches: Object.keys(this.branches),
|
||||
thoughtHistoryLength: this.thoughtHistory.length
|
||||
}, null, 2)
|
||||
}]
|
||||
};
|
||||
} catch (error) {
|
||||
return {
|
||||
content: [{
|
||||
type: "text",
|
||||
text: JSON.stringify({
|
||||
error: error instanceof Error ? error.message : String(error),
|
||||
status: 'failed'
|
||||
}, null, 2)
|
||||
}],
|
||||
isError: true
|
||||
};
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const SEQUENTIAL_THINKING_TOOL: Tool = {
|
||||
name: "sequentialthinking",
|
||||
description: `A detailed tool for dynamic and reflective problem-solving through thoughts.
|
||||
This tool helps analyze problems through a flexible thinking process that can adapt and evolve.
|
||||
Each thought can build on, question, or revise previous insights as understanding deepens.
|
||||
|
||||
When to use this tool:
|
||||
- Breaking down complex problems into steps
|
||||
- Planning and design with room for revision
|
||||
- Analysis that might need course correction
|
||||
- Problems where the full scope might not be clear initially
|
||||
- Problems that require a multi-step solution
|
||||
- Tasks that need to maintain context over multiple steps
|
||||
- Situations where irrelevant information needs to be filtered out
|
||||
|
||||
Key features:
|
||||
- You can adjust total_thoughts up or down as you progress
|
||||
- You can question or revise previous thoughts
|
||||
- You can add more thoughts even after reaching what seemed like the end
|
||||
- You can express uncertainty and explore alternative approaches
|
||||
- Not every thought needs to build linearly - you can branch or backtrack
|
||||
- Generates a solution hypothesis
|
||||
- Verifies the hypothesis based on the Chain of Thought steps
|
||||
- Repeats the process until satisfied
|
||||
- Provides a correct answer
|
||||
|
||||
Parameters explained:
|
||||
- thought: Your current thinking step, which can include:
|
||||
* Regular analytical steps
|
||||
* Revisions of previous thoughts
|
||||
* Questions about previous decisions
|
||||
* Realizations about needing more analysis
|
||||
* Changes in approach
|
||||
* Hypothesis generation
|
||||
* Hypothesis verification
|
||||
- next_thought_needed: True if you need more thinking, even if at what seemed like the end
|
||||
- thought_number: Current number in sequence (can go beyond initial total if needed)
|
||||
- total_thoughts: Current estimate of thoughts needed (can be adjusted up/down)
|
||||
- is_revision: A boolean indicating if this thought revises previous thinking
|
||||
- revises_thought: If is_revision is true, which thought number is being reconsidered
|
||||
- branch_from_thought: If branching, which thought number is the branching point
|
||||
- branch_id: Identifier for the current branch (if any)
|
||||
- needs_more_thoughts: If reaching end but realizing more thoughts needed
|
||||
|
||||
You should:
|
||||
1. Start with an initial estimate of needed thoughts, but be ready to adjust
|
||||
2. Feel free to question or revise previous thoughts
|
||||
3. Don't hesitate to add more thoughts if needed, even at the "end"
|
||||
4. Express uncertainty when present
|
||||
5. Mark thoughts that revise previous thinking or branch into new paths
|
||||
6. Ignore information that is irrelevant to the current step
|
||||
7. Generate a solution hypothesis when appropriate
|
||||
8. Verify the hypothesis based on the Chain of Thought steps
|
||||
9. Repeat the process until satisfied with the solution
|
||||
10. Provide a single, ideally correct answer as the final output
|
||||
11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`,
|
||||
inputSchema: {
|
||||
type: "object",
|
||||
properties: {
|
||||
thought: {
|
||||
type: "string",
|
||||
description: "Your current thinking step"
|
||||
},
|
||||
nextThoughtNeeded: {
|
||||
type: "boolean",
|
||||
description: "Whether another thought step is needed"
|
||||
},
|
||||
thoughtNumber: {
|
||||
type: "integer",
|
||||
description: "Current thought number",
|
||||
minimum: 1
|
||||
},
|
||||
totalThoughts: {
|
||||
type: "integer",
|
||||
description: "Estimated total thoughts needed",
|
||||
minimum: 1
|
||||
},
|
||||
isRevision: {
|
||||
type: "boolean",
|
||||
description: "Whether this revises previous thinking"
|
||||
},
|
||||
revisesThought: {
|
||||
type: "integer",
|
||||
description: "Which thought is being reconsidered",
|
||||
minimum: 1
|
||||
},
|
||||
branchFromThought: {
|
||||
type: "integer",
|
||||
description: "Branching point thought number",
|
||||
minimum: 1
|
||||
},
|
||||
branchId: {
|
||||
type: "string",
|
||||
description: "Branch identifier"
|
||||
},
|
||||
needsMoreThoughts: {
|
||||
type: "boolean",
|
||||
description: "If more thoughts are needed"
|
||||
}
|
||||
},
|
||||
required: ["thought", "nextThoughtNeeded", "thoughtNumber", "totalThoughts"]
|
||||
}
|
||||
};
|
||||
|
||||
const server = new Server(
|
||||
{
|
||||
name: "sequential-thinking-server",
|
||||
version: "0.2.0",
|
||||
},
|
||||
{
|
||||
capabilities: {
|
||||
tools: {},
|
||||
},
|
||||
}
|
||||
);
|
||||
|
||||
const thinkingServer = new SequentialThinkingServer();
|
||||
|
||||
server.setRequestHandler(ListToolsRequestSchema, async () => ({
|
||||
tools: [SEQUENTIAL_THINKING_TOOL],
|
||||
}));
|
||||
|
||||
server.setRequestHandler(CallToolRequestSchema, async (request) => {
|
||||
if (request.params.name === "sequentialthinking") {
|
||||
return thinkingServer.processThought(request.params.arguments);
|
||||
}
|
||||
|
||||
return {
|
||||
content: [{
|
||||
type: "text",
|
||||
text: `Unknown tool: ${request.params.name}`
|
||||
}],
|
||||
isError: true
|
||||
};
|
||||
});
|
||||
|
||||
async function runServer() {
|
||||
const transport = new StdioServerTransport();
|
||||
await server.connect(transport);
|
||||
console.error("Sequential Thinking MCP Server running on stdio");
|
||||
}
|
||||
|
||||
runServer().catch((error) => {
|
||||
console.error("Fatal error running server:", error);
|
||||
process.exit(1);
|
||||
});
|
||||
32
src/sequentialthinking/package.json
Normal file
32
src/sequentialthinking/package.json
Normal file
|
|
@ -0,0 +1,32 @@
|
|||
{
|
||||
"name": "@modelcontextprotocol/server-sequential-thinking",
|
||||
"version": "0.1.0",
|
||||
"description": "MCP server for sequential thinking and problem solving",
|
||||
"license": "MIT",
|
||||
"author": "Anthropic, PBC (https://anthropic.com)",
|
||||
"homepage": "https://modelcontextprotocol.io",
|
||||
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
|
||||
"type": "module",
|
||||
"bin": {
|
||||
"mcp-server-sequential-thinking": "dist/index.js"
|
||||
},
|
||||
"files": [
|
||||
"dist"
|
||||
],
|
||||
"scripts": {
|
||||
"build": "tsc && shx chmod +x dist/*.js",
|
||||
"prepare": "npm run build",
|
||||
"watch": "tsc --watch"
|
||||
},
|
||||
"dependencies": {
|
||||
"@modelcontextprotocol/sdk": "0.5.0",
|
||||
"chalk": "^5.3.0",
|
||||
"yargs": "^17.7.2"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^20.11.0",
|
||||
"@types/yargs": "^17.0.32",
|
||||
"shx": "^0.3.4",
|
||||
"typescript": "^5.3.3"
|
||||
}
|
||||
}
|
||||
10
src/sequentialthinking/tsconfig.json
Normal file
10
src/sequentialthinking/tsconfig.json
Normal file
|
|
@ -0,0 +1,10 @@
|
|||
{
|
||||
"extends": "../../tsconfig.json",
|
||||
"compilerOptions": {
|
||||
"outDir": "./dist",
|
||||
"rootDir": ".",
|
||||
"moduleResolution": "NodeNext",
|
||||
"module": "NodeNext"
|
||||
},
|
||||
"include": ["./**/*.ts"]
|
||||
}
|
||||
Some files were not shown because too many files have changed in this diff Show more
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Reference in a new issue