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jankowtf

MCP Server Template for Cursor IDE

by jankowtf

mcp_fetch

Retrieve website content by inputting a URL using this tool, designed for extending Cursor IDE functionality with custom server-based tools.

Instructions

Fetches a website and returns its content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to fetch

Implementation Reference

  • Core handler function that fetches the website content asynchronously using httpx, handles various errors (timeout, HTTP, general), and returns TextContent.
    async def fetch_website( url: str, ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]: headers = { "User-Agent": "MCP Test Server (github.com/modelcontextprotocol/python-sdk)" } try: timeout = httpx.Timeout(10.0, connect=5.0) async with httpx.AsyncClient( follow_redirects=True, headers=headers, timeout=timeout ) as client: response = await client.get(url) response.raise_for_status() return [types.TextContent(type="text", text=response.text)] except httpx.TimeoutException: return [ types.TextContent( type="text", text="Error: Request timed out while trying to fetch the website.", ) ] except httpx.HTTPStatusError as e: return [ types.TextContent( type="text", text=( f"Error: HTTP {e.response.status_code} " "error while fetching the website." ), ) ] except Exception as e: return [ types.TextContent( type="text", text=f"Error: Failed to fetch website: {str(e)}" ) ]
  • Dispatch logic in the @app.call_tool() handler: checks for mcp_fetch tool name, validates 'url' argument, and invokes fetch_website.
    if name == "mcp_fetch": if "url" not in arguments: return [ types.TextContent( type="text", text="Error: Missing required argument 'url'" ) ] return await fetch_website(arguments["url"])
  • Input schema definition for mcp_fetch: requires 'url' as string.
    inputSchema={ "type": "object", "required": ["url"], "properties": { "url": { "type": "string", "description": "URL to fetch", } }, },
  • Tool registration in @app.list_tools(): defines name, description, and inputSchema for mcp_fetch.
    types.Tool( name="mcp_fetch", description="Fetches a website and returns its content", inputSchema={ "type": "object", "required": ["url"], "properties": { "url": { "type": "string", "description": "URL to fetch", } }, }, ),

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