merge w/ upstream

This commit is contained in:
Raduan77 2024-12-05 11:20:54 +01:00
commit 7d51320f42
48 changed files with 3535 additions and 1806 deletions

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@ -1,6 +1,6 @@
{
"name": "@modelcontextprotocol/server-brave-search",
"version": "0.5.2",
"version": "0.6.2",
"description": "MCP server for Brave Search API integration",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
@ -19,11 +19,11 @@
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0"
"@modelcontextprotocol/sdk": "1.0.1"
},
"devDependencies": {
"@types/node": "^20.10.0",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
}

73
src/everart/README.md Normal file
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@ -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
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@ -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,
} from "@modelcontextprotocol/sdk/types.js";
import fetch from "node-fetch";
import open from "open";
const server = new Server(
{
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);
}
const client = new EverArt.default(process.env.EVERART_API_KEY);
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" +
"\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
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@ -0,0 +1,32 @@
{
"name": "@modelcontextprotocol/server-everart",
"version": "0.6.2",
"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
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@ -0,0 +1,10 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

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@ -1,6 +1,6 @@
{
"name": "@modelcontextprotocol/server-everything",
"version": "0.5.1",
"version": "0.6.2",
"description": "MCP server that exercises all the features of the MCP protocol",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
@ -19,7 +19,7 @@
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0",
"@modelcontextprotocol/sdk": "1.0.1",
"express": "^4.21.1",
"zod": "^3.23.8",
"zod-to-json-schema": "^3.23.5"
@ -29,4 +29,4 @@
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
}

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@ -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)

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@ -1,6 +1,6 @@
[project]
name = "mcp-server-fetch"
version = "0.1.2"
version = "0.6.2"
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"

View file

@ -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
@ -56,7 +74,9 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str):
async with AsyncClient() as client:
try:
response = await client.get(
robot_txt_url, headers={"User-Agent": user_agent}
robot_txt_url,
follow_redirects=True,
headers={"User-Agent": user_agent},
)
except HTTPError:
raise McpError(
@ -75,7 +95,7 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str):
line for line in robot_txt.splitlines() if not line.strip().startswith("#")
)
robot_parser = Protego.parse(processed_robot_txt)
if not robot_parser.can_fetch(url, user_agent):
if not robot_parser.can_fetch(str(url), user_agent):
raise McpError(
INTERNAL_ERROR,
f"The sites robots.txt ({robot_txt_url}), specifies that autonomous fetching of this page is not allowed, "
@ -87,34 +107,85 @@ 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 +195,7 @@ 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 +218,25 @@ 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 +246,7 @@ 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 +262,7 @@ 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
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@ -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" },
]
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wheels = [
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]
[[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" },
]
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]
[[package]]
@ -328,7 +327,7 @@ wheels = [
[[package]]
name = "mcp-server-fetch"
version = "0.1.2"
version = "0.6.2"
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" },
]
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[[package]]

View file

@ -1,6 +1,6 @@
{
"name": "@modelcontextprotocol/server-filesystem",
"version": "0.5.1",
"version": "0.6.2",
"description": "MCP server for filesystem access",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
@ -19,7 +19,7 @@
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0",
"@modelcontextprotocol/sdk": "1.0.1",
"glob": "^10.3.10",
"zod-to-json-schema": "^3.23.5"
},
@ -28,4 +28,4 @@
"shx": "^0.3.4",
"typescript": "^5.3.3"
}
}
}

View file

@ -1,6 +1,6 @@
{
"name": "@modelcontextprotocol/server-gdrive",
"version": "0.5.1",
"version": "0.6.2",
"description": "MCP server for interacting with Google Drive",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
@ -20,7 +20,7 @@
},
"dependencies": {
"@google-cloud/local-auth": "^3.0.1",
"@modelcontextprotocol/sdk": "0.5.0",
"@modelcontextprotocol/sdk": "1.0.1",
"googleapis": "^144.0.0"
},
"devDependencies": {
@ -28,4 +28,4 @@
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
}

View file

@ -53,6 +53,13 @@ Please note that mcp-server-git is currently in early development. The functiona
- `max_count` (number, optional): Maximum number of commits to show (default: 10)
- Returns: Array of commit entries with hash, author, date, and message
8. `git_create_branch`
- Creates a new branch
- Inputs:
- `repo_path` (string): Path to Git repository
- `branch_name` (string): Name of the new branch
- `start_point` (string, optional): Starting point for the new branch
- Returns: Confirmation of branch creation
## Installation
@ -117,8 +124,10 @@ 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 +139,10 @@ 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"]
}
}
},
```
@ -152,6 +163,29 @@ cd path/to/servers/src/git
npx @modelcontextprotocol/inspector uv run mcp-server-git
```
Running `tail -n 20 -f ~/Library/Logs/Claude/mcp*.log` will show the logs from the server and may
help you debug any issues.
## Development
If you are doing local development, there are two ways to test your changes:
1. Run the MCP inspector to test your changes. See [Debugging](#debugging) for run instructions.
2. Test using the Claude desktop app. Add the following to your `claude_desktop_config.json`:
```json
"git": {
"command": "uv",
"args": [
"--directory",
"/<path to mcp-servers>/mcp-servers/src/git",
"run",
"mcp-server-git"
]
}
```
## 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.

View file

@ -1,6 +1,6 @@
[project]
name = "mcp-server-git"
version = "0.5.1"
version = "0.6.2"
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",
]

View file

@ -39,6 +39,11 @@ class GitLog(BaseModel):
repo_path: str
max_count: int = 10
class GitCreateBranch(BaseModel):
repo_path: str
branch_name: str
base_branch: str | None = None
class GitTools(str, Enum):
STATUS = "git_status"
DIFF_UNSTAGED = "git_diff_unstaged"
@ -47,6 +52,7 @@ class GitTools(str, Enum):
ADD = "git_add"
RESET = "git_reset"
LOG = "git_log"
CREATE_BRANCH = "git_create_branch"
def git_status(repo: git.Repo) -> str:
return repo.git.status()
@ -81,6 +87,15 @@ def git_log(repo: git.Repo, max_count: int = 10) -> list[str]:
)
return log
def git_create_branch(repo: git.Repo, branch_name: str, base_branch: str | None = None) -> str:
if base_branch:
base = repo.refs[base_branch]
else:
base = repo.active_branch
repo.create_head(branch_name, base)
return f"Created branch '{branch_name}' from '{base.name}'"
async def serve(repository: Path | None) -> None:
logger = logging.getLogger(__name__)
@ -132,6 +147,11 @@ async def serve(repository: Path | None) -> None:
description="Shows the commit logs",
inputSchema=GitLog.schema(),
),
Tool(
name=GitTools.CREATE_BRANCH,
description="Creates a new branch from an optional base branch",
inputSchema=GitCreateBranch.schema(),
),
]
async def list_repos() -> Sequence[str]:
@ -218,6 +238,17 @@ async def serve(repository: Path | None) -> None:
text="Commit history:\n" + "\n".join(log)
)]
case GitTools.CREATE_BRANCH:
result = git_create_branch(
repo,
arguments["branch_name"],
arguments.get("base_branch")
)
return [TextContent(
type="text",
text=result
)]
case _:
raise ValueError(f"Unknown tool: {name}")

10
src/git/uv.lock generated
View file

@ -146,7 +146,7 @@ wheels = [
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dependencies = [
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@ -156,14 +156,14 @@ dependencies = [
{ name = "sse-starlette" },
{ name = "starlette" },
]
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[[package]]
name = "mcp-server-git"
version = "0.4.1"
version = "0.6.2"
source = { editable = "." }
dependencies = [
{ name = "click" },
@ -182,7 +182,7 @@ dev = [
requires-dist = [
{ name = "click", specifier = ">=8.1.7" },
{ name = "gitpython", specifier = ">=3.1.43" },
{ name = "mcp", specifier = ">=0.6.0" },
{ name = "mcp", specifier = ">=1.0.0" },
{ name = "pydantic", specifier = ">=2.0.0" },
]

View file

@ -632,161 +632,186 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
};
});
server.setRequestHandler(
CallToolRequestSchema,
async (request: CallToolRequest) => {
try {
if (!request.params.arguments) {
throw new Error("Arguments are required");
server.setRequestHandler(CallToolRequestSchema, async (request) => {
try {
if (!request.params.arguments) {
throw new Error("Arguments are required");
}
switch (request.params.name) {
case "fork_repository": {
const args = ForkRepositorySchema.parse(request.params.arguments);
const fork = await forkRepository(
args.owner,
args.repo,
args.organization
);
return {
content: [{ type: "text", text: JSON.stringify(fork, null, 2) }],
};
}
switch (request.params.name) {
case "fork_repository": {
const args = ForkRepositorySchema.parse(request.params.arguments);
const fork = await forkRepository(
args.owner,
args.repo,
args.organization
);
return { toolResult: fork };
}
case "create_branch": {
const args = CreateBranchSchema.parse(request.params.arguments);
let sha: string;
if (args.from_branch) {
const response = await fetch(
`https://api.github.com/repos/${args.owner}/${args.repo}/git/refs/heads/${args.from_branch}`,
{
headers: {
Authorization: `token ${GITHUB_PERSONAL_ACCESS_TOKEN}`,
Accept: "application/vnd.github.v3+json",
"User-Agent": "github-mcp-server",
},
}
);
if (!response.ok) {
throw new Error(`Source branch '${args.from_branch}' not found`);
case "create_branch": {
const args = CreateBranchSchema.parse(request.params.arguments);
let sha: string;
if (args.from_branch) {
const response = await fetch(
`https://api.github.com/repos/${args.owner}/${args.repo}/git/refs/heads/${args.from_branch}`,
{
headers: {
Authorization: `token ${GITHUB_PERSONAL_ACCESS_TOKEN}`,
Accept: "application/vnd.github.v3+json",
"User-Agent": "github-mcp-server",
},
}
);
const data = GitHubReferenceSchema.parse(await response.json());
sha = data.object.sha;
} else {
sha = await getDefaultBranchSHA(args.owner, args.repo);
if (!response.ok) {
throw new Error(`Source branch '${args.from_branch}' not found`);
}
const branch = await createBranch(args.owner, args.repo, {
ref: args.branch,
sha,
});
return { toolResult: branch };
const data = GitHubReferenceSchema.parse(await response.json());
sha = data.object.sha;
} else {
sha = await getDefaultBranchSHA(args.owner, args.repo);
}
case "search_repositories": {
const args = SearchRepositoriesSchema.parse(request.params.arguments);
const results = await searchRepositories(
args.query,
args.page,
args.perPage
);
return { toolResult: results };
}
const branch = await createBranch(args.owner, args.repo, {
ref: args.branch,
sha,
});
case "create_repository": {
const args = CreateRepositorySchema.parse(request.params.arguments);
const repository = await createRepository(args);
return { toolResult: repository };
}
case "get_file_contents": {
const args = GetFileContentsSchema.parse(request.params.arguments);
const contents = await getFileContents(
args.owner,
args.repo,
args.path,
args.branch
);
return { toolResult: contents };
}
case "create_or_update_file": {
const args = CreateOrUpdateFileSchema.parse(request.params.arguments);
const result = await createOrUpdateFile(
args.owner,
args.repo,
args.path,
args.content,
args.message,
args.branch,
args.sha
);
return { toolResult: result };
}
case "push_files": {
const args = PushFilesSchema.parse(request.params.arguments);
const result = await pushFiles(
args.owner,
args.repo,
args.branch,
args.files,
args.message
);
return { toolResult: result };
}
case "create_issue": {
const args = CreateIssueSchema.parse(request.params.arguments);
const { owner, repo, ...options } = args;
const issue = await createIssue(owner, repo, options);
return { toolResult: issue };
}
case "create_pull_request": {
const args = CreatePullRequestSchema.parse(request.params.arguments);
const { owner, repo, ...options } = args;
const pullRequest = await createPullRequest(owner, repo, options);
return { toolResult: pullRequest };
}
case "search_code": {
const args = SearchCodeSchema.parse(request.params.arguments);
const results = await searchCode(args);
return { toolResult: results };
}
case "search_issues": {
const args = SearchIssuesSchema.parse(request.params.arguments);
const results = await searchIssues(args);
return { toolResult: results };
}
case "search_users": {
const args = SearchUsersSchema.parse(request.params.arguments);
const results = await searchUsers(args);
return { toolResult: results };
}
default:
throw new Error(`Unknown tool: ${request.params.name}`);
return {
content: [{ type: "text", text: JSON.stringify(branch, null, 2) }],
};
}
} catch (error) {
if (error instanceof z.ZodError) {
throw new Error(
`Invalid arguments: ${error.errors
.map(
(e: z.ZodError["errors"][number]) =>
`${e.path.join(".")}: ${e.message}`
)
.join(", ")}`
case "search_repositories": {
const args = SearchRepositoriesSchema.parse(request.params.arguments);
const results = await searchRepositories(
args.query,
args.page,
args.perPage
);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
throw error;
case "create_repository": {
const args = CreateRepositorySchema.parse(request.params.arguments);
const repository = await createRepository(args);
return {
content: [
{ type: "text", text: JSON.stringify(repository, null, 2) },
],
};
}
case "get_file_contents": {
const args = GetFileContentsSchema.parse(request.params.arguments);
const contents = await getFileContents(
args.owner,
args.repo,
args.path,
args.branch
);
return {
content: [{ type: "text", text: JSON.stringify(contents, null, 2) }],
};
}
case "create_or_update_file": {
const args = CreateOrUpdateFileSchema.parse(request.params.arguments);
const result = await createOrUpdateFile(
args.owner,
args.repo,
args.path,
args.content,
args.message,
args.branch,
args.sha
);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
case "push_files": {
const args = PushFilesSchema.parse(request.params.arguments);
const result = await pushFiles(
args.owner,
args.repo,
args.branch,
args.files,
args.message
);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
case "create_issue": {
const args = CreateIssueSchema.parse(request.params.arguments);
const { owner, repo, ...options } = args;
const issue = await createIssue(owner, repo, options);
return {
content: [{ type: "text", text: JSON.stringify(issue, null, 2) }],
};
}
case "create_pull_request": {
const args = CreatePullRequestSchema.parse(request.params.arguments);
const { owner, repo, ...options } = args;
const pullRequest = await createPullRequest(owner, repo, options);
return {
content: [
{ type: "text", text: JSON.stringify(pullRequest, null, 2) },
],
};
}
case "search_code": {
const args = SearchCodeSchema.parse(request.params.arguments);
const results = await searchCode(args);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
case "search_issues": {
const args = SearchIssuesSchema.parse(request.params.arguments);
const results = await searchIssues(args);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
case "search_users": {
const args = SearchUsersSchema.parse(request.params.arguments);
const results = await searchUsers(args);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
default:
throw new Error(`Unknown tool: ${request.params.name}`);
}
} catch (error) {
if (error instanceof z.ZodError) {
throw new Error(
`Invalid arguments: ${error.errors
.map(
(e: z.ZodError["errors"][number]) =>
`${e.path.join(".")}: ${e.message}`
)
.join(", ")}`
);
}
throw error;
}
);
});
async function runServer() {
const transport = new StdioServerTransport();

View file

@ -1,551 +0,0 @@
{
"name": "@modelcontextprotocol/server-github",
"version": "0.2.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "@modelcontextprotocol/server-github",
"version": "0.2.0",
"license": "MIT",
"dependencies": {
"@modelcontextprotocol/sdk": "0.6.0",
"@types/node-fetch": "^2.6.12",
"node-fetch": "^3.3.2"
},
"bin": {
"mcp-server-github": "dist/index.js"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
},
"node_modules/@modelcontextprotocol/sdk": {
"version": "0.6.0",
"resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-0.6.0.tgz",
"integrity": "sha512-9rsDudGhDtMbvxohPoMMyAUOmEzQsOK+XFchh6gZGqo8sx9sBuZQs+CUttXqa8RZXKDaJRCN2tUtgGof7jRkkw==",
"dependencies": {
"content-type": "^1.0.5",
"raw-body": "^3.0.0",
"zod": "^3.23.8"
}
},
"node_modules/@types/node": {
"version": "22.9.1",
"resolved": "https://registry.npmjs.org/@types/node/-/node-22.9.1.tgz",
"integrity": "sha512-p8Yy/8sw1caA8CdRIQBG5tiLHmxtQKObCijiAa9Ez+d4+PRffM4054xbju0msf+cvhJpnFEeNjxmVT/0ipktrg==",
"dependencies": {
"undici-types": "~6.19.8"
}
},
"node_modules/@types/node-fetch": {
"version": "2.6.12",
"resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.12.tgz",
"integrity": "sha512-8nneRWKCg3rMtF69nLQJnOYUcbafYeFSjqkw3jCRLsqkWFlHaoQrr5mXmofFGOx3DKn7UfmBMyov8ySvLRVldA==",
"dependencies": {
"@types/node": "*",
"form-data": "^4.0.0"
}
},
"node_modules/asynckit": {
"version": "0.4.0",
"resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
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},
"node_modules/balanced-match": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
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"dev": true
},
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"version": "1.1.11",
"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
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"concat-map": "0.0.1"
}
},
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"delayed-stream": "~1.0.0"
},
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"url": "https://github.com/sponsors/jimmywarting"
},
{
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"url": "https://paypal.me/jimmywarting"
}
],
"dependencies": {
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},
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}
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}
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"dev": true,
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}
},
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},
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"funding": {
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}
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},
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}
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}
}

View file

@ -1,6 +1,6 @@
{
"name": "@modelcontextprotocol/server-github",
"version": "0.6.0",
"version": "0.6.2",
"description": "MCP server for using the GitHub API",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
@ -19,7 +19,7 @@
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.6.0",
"@modelcontextprotocol/sdk": "1.0.1",
"@types/node": "^20.11.0",
"@types/node-fetch": "^2.6.12",
"node-fetch": "^3.3.2",
@ -30,4 +30,4 @@
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
}

View file

@ -437,7 +437,7 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => {
case "fork_repository": {
const args = ForkRepositorySchema.parse(request.params.arguments);
const fork = await forkProject(args.project_id, args.namespace);
return { toolResult: fork };
return { content: [{ type: "text", text: JSON.stringify(fork, null, 2) }] };
}
case "create_branch": {
@ -452,25 +452,25 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => {
ref
});
return { toolResult: branch };
return { content: [{ type: "text", text: JSON.stringify(branch, null, 2) }] };
}
case "search_repositories": {
const args = SearchRepositoriesSchema.parse(request.params.arguments);
const results = await searchProjects(args.search, args.page, args.per_page);
return { toolResult: results };
return { content: [{ type: "text", text: JSON.stringify(results, null, 2) }] };
}
case "create_repository": {
const args = CreateRepositorySchema.parse(request.params.arguments);
const repository = await createRepository(args);
return { toolResult: repository };
return { content: [{ type: "text", text: JSON.stringify(repository, null, 2) }] };
}
case "get_file_contents": {
const args = GetFileContentsSchema.parse(request.params.arguments);
const contents = await getFileContents(args.project_id, args.file_path, args.ref);
return { toolResult: contents };
return { content: [{ type: "text", text: JSON.stringify(contents, null, 2) }] };
}
case "create_or_update_file": {
@ -483,7 +483,7 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => {
args.branch,
args.previous_path
);
return { toolResult: result };
return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
}
case "push_files": {
@ -494,21 +494,21 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => {
args.branch,
args.files.map(f => ({ path: f.file_path, content: f.content }))
);
return { toolResult: result };
return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
}
case "create_issue": {
const args = CreateIssueSchema.parse(request.params.arguments);
const { project_id, ...options } = args;
const issue = await createIssue(project_id, options);
return { toolResult: issue };
return { content: [{ type: "text", text: JSON.stringify(issue, null, 2) }] };
}
case "create_merge_request": {
const args = CreateMergeRequestSchema.parse(request.params.arguments);
const { project_id, ...options } = args;
const mergeRequest = await createMergeRequest(project_id, options);
return { toolResult: mergeRequest };
return { content: [{ type: "text", text: JSON.stringify(mergeRequest, null, 2) }] };
}
default:

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