feat: add paginated list decorators for prompts, resources, and tools (#1286)
Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
parent
03e19f1c90
commit
4fb975c6dc
3 changed files with 1274 additions and 19 deletions
|
|
@ -0,0 +1,5 @@
|
|||
import sys
|
||||
|
||||
from .server import main
|
||||
|
||||
sys.exit(main()) # type: ignore[call-arg]
|
||||
|
|
@ -0,0 +1,228 @@
|
|||
"""
|
||||
Simple MCP server demonstrating pagination for tools, resources, and prompts.
|
||||
|
||||
This example shows how to use the paginated decorators to handle large lists
|
||||
of items that need to be split across multiple pages.
|
||||
"""
|
||||
|
||||
from typing import Any
|
||||
|
||||
import anyio
|
||||
import click
|
||||
import mcp.types as types
|
||||
from mcp.server.lowlevel import Server
|
||||
from pydantic import AnyUrl
|
||||
from starlette.requests import Request
|
||||
|
||||
# Sample data - in real scenarios, this might come from a database
|
||||
SAMPLE_TOOLS = [
|
||||
types.Tool(
|
||||
name=f"tool_{i}",
|
||||
title=f"Tool {i}",
|
||||
description=f"This is sample tool number {i}",
|
||||
inputSchema={"type": "object", "properties": {"input": {"type": "string"}}},
|
||||
)
|
||||
for i in range(1, 26) # 25 tools total
|
||||
]
|
||||
|
||||
SAMPLE_RESOURCES = [
|
||||
types.Resource(
|
||||
uri=AnyUrl(f"file:///path/to/resource_{i}.txt"),
|
||||
name=f"resource_{i}",
|
||||
description=f"This is sample resource number {i}",
|
||||
)
|
||||
for i in range(1, 31) # 30 resources total
|
||||
]
|
||||
|
||||
SAMPLE_PROMPTS = [
|
||||
types.Prompt(
|
||||
name=f"prompt_{i}",
|
||||
description=f"This is sample prompt number {i}",
|
||||
arguments=[
|
||||
types.PromptArgument(name="arg1", description="First argument", required=True),
|
||||
],
|
||||
)
|
||||
for i in range(1, 21) # 20 prompts total
|
||||
]
|
||||
|
||||
|
||||
@click.command()
|
||||
@click.option("--port", default=8000, help="Port to listen on for SSE")
|
||||
@click.option(
|
||||
"--transport",
|
||||
type=click.Choice(["stdio", "sse"]),
|
||||
default="stdio",
|
||||
help="Transport type",
|
||||
)
|
||||
def main(port: int, transport: str) -> int:
|
||||
app = Server("mcp-simple-pagination")
|
||||
|
||||
# Paginated list_tools - returns 5 tools per page
|
||||
@app.list_tools()
|
||||
async def list_tools_paginated(request: types.ListToolsRequest) -> types.ListToolsResult:
|
||||
page_size = 5
|
||||
|
||||
cursor = request.params.cursor if request.params is not None else None
|
||||
if cursor is None:
|
||||
# First page
|
||||
start_idx = 0
|
||||
else:
|
||||
# Parse cursor to get the start index
|
||||
try:
|
||||
start_idx = int(cursor)
|
||||
except (ValueError, TypeError):
|
||||
# Invalid cursor, return empty
|
||||
return types.ListToolsResult(tools=[], nextCursor=None)
|
||||
|
||||
# Get the page of tools
|
||||
page_tools = SAMPLE_TOOLS[start_idx : start_idx + page_size]
|
||||
|
||||
# Determine if there are more pages
|
||||
next_cursor = None
|
||||
if start_idx + page_size < len(SAMPLE_TOOLS):
|
||||
next_cursor = str(start_idx + page_size)
|
||||
|
||||
return types.ListToolsResult(tools=page_tools, nextCursor=next_cursor)
|
||||
|
||||
# Paginated list_resources - returns 10 resources per page
|
||||
@app.list_resources()
|
||||
async def list_resources_paginated(
|
||||
request: types.ListResourcesRequest,
|
||||
) -> types.ListResourcesResult:
|
||||
page_size = 10
|
||||
|
||||
cursor = request.params.cursor if request.params is not None else None
|
||||
if cursor is None:
|
||||
# First page
|
||||
start_idx = 0
|
||||
else:
|
||||
# Parse cursor to get the start index
|
||||
try:
|
||||
start_idx = int(cursor)
|
||||
except (ValueError, TypeError):
|
||||
# Invalid cursor, return empty
|
||||
return types.ListResourcesResult(resources=[], nextCursor=None)
|
||||
|
||||
# Get the page of resources
|
||||
page_resources = SAMPLE_RESOURCES[start_idx : start_idx + page_size]
|
||||
|
||||
# Determine if there are more pages
|
||||
next_cursor = None
|
||||
if start_idx + page_size < len(SAMPLE_RESOURCES):
|
||||
next_cursor = str(start_idx + page_size)
|
||||
|
||||
return types.ListResourcesResult(resources=page_resources, nextCursor=next_cursor)
|
||||
|
||||
# Paginated list_prompts - returns 7 prompts per page
|
||||
@app.list_prompts()
|
||||
async def list_prompts_paginated(
|
||||
request: types.ListPromptsRequest,
|
||||
) -> types.ListPromptsResult:
|
||||
page_size = 7
|
||||
|
||||
cursor = request.params.cursor if request.params is not None else None
|
||||
if cursor is None:
|
||||
# First page
|
||||
start_idx = 0
|
||||
else:
|
||||
# Parse cursor to get the start index
|
||||
try:
|
||||
start_idx = int(cursor)
|
||||
except (ValueError, TypeError):
|
||||
# Invalid cursor, return empty
|
||||
return types.ListPromptsResult(prompts=[], nextCursor=None)
|
||||
|
||||
# Get the page of prompts
|
||||
page_prompts = SAMPLE_PROMPTS[start_idx : start_idx + page_size]
|
||||
|
||||
# Determine if there are more pages
|
||||
next_cursor = None
|
||||
if start_idx + page_size < len(SAMPLE_PROMPTS):
|
||||
next_cursor = str(start_idx + page_size)
|
||||
|
||||
return types.ListPromptsResult(prompts=page_prompts, nextCursor=next_cursor)
|
||||
|
||||
# Implement call_tool handler
|
||||
@app.call_tool()
|
||||
async def call_tool(name: str, arguments: dict[str, Any]) -> list[types.ContentBlock]:
|
||||
# Find the tool in our sample data
|
||||
tool = next((t for t in SAMPLE_TOOLS if t.name == name), None)
|
||||
if not tool:
|
||||
raise ValueError(f"Unknown tool: {name}")
|
||||
|
||||
# Simple mock response
|
||||
return [
|
||||
types.TextContent(
|
||||
type="text",
|
||||
text=f"Called tool '{name}' with arguments: {arguments}",
|
||||
)
|
||||
]
|
||||
|
||||
# Implement read_resource handler
|
||||
@app.read_resource()
|
||||
async def read_resource(uri: AnyUrl) -> str:
|
||||
# Find the resource in our sample data
|
||||
resource = next((r for r in SAMPLE_RESOURCES if r.uri == uri), None)
|
||||
if not resource:
|
||||
raise ValueError(f"Unknown resource: {uri}")
|
||||
|
||||
# Return a simple string - the decorator will convert it to TextResourceContents
|
||||
return f"Content of {resource.name}: This is sample content for the resource."
|
||||
|
||||
# Implement get_prompt handler
|
||||
@app.get_prompt()
|
||||
async def get_prompt(name: str, arguments: dict[str, str] | None) -> types.GetPromptResult:
|
||||
# Find the prompt in our sample data
|
||||
prompt = next((p for p in SAMPLE_PROMPTS if p.name == name), None)
|
||||
if not prompt:
|
||||
raise ValueError(f"Unknown prompt: {name}")
|
||||
|
||||
# Simple mock response
|
||||
message_text = f"This is the prompt '{name}'"
|
||||
if arguments:
|
||||
message_text += f" with arguments: {arguments}"
|
||||
|
||||
return types.GetPromptResult(
|
||||
description=prompt.description,
|
||||
messages=[
|
||||
types.PromptMessage(
|
||||
role="user",
|
||||
content=types.TextContent(type="text", text=message_text),
|
||||
)
|
||||
],
|
||||
)
|
||||
|
||||
if transport == "sse":
|
||||
from mcp.server.sse import SseServerTransport
|
||||
from starlette.applications import Starlette
|
||||
from starlette.responses import Response
|
||||
from starlette.routing import Mount, Route
|
||||
|
||||
sse = SseServerTransport("/messages/")
|
||||
|
||||
async def handle_sse(request: Request):
|
||||
async with sse.connect_sse(request.scope, request.receive, request._send) as streams: # type: ignore[reportPrivateUsage]
|
||||
await app.run(streams[0], streams[1], app.create_initialization_options())
|
||||
return Response()
|
||||
|
||||
starlette_app = Starlette(
|
||||
debug=True,
|
||||
routes=[
|
||||
Route("/sse", endpoint=handle_sse, methods=["GET"]),
|
||||
Mount("/messages/", app=sse.handle_post_message),
|
||||
],
|
||||
)
|
||||
|
||||
import uvicorn
|
||||
|
||||
uvicorn.run(starlette_app, host="127.0.0.1", port=port)
|
||||
else:
|
||||
from mcp.server.stdio import stdio_server
|
||||
|
||||
async def arun():
|
||||
async with stdio_server() as streams:
|
||||
await app.run(streams[0], streams[1], app.create_initialization_options())
|
||||
|
||||
anyio.run(arun)
|
||||
|
||||
return 0
|
||||
Loading…
Reference in a new issue