Fetch

Official

Web content fetching and conversion for efficient LLM usage

About Fetch MCP Server

The Fetch MCP server provides a comprehensive interface for AI applications to interact with fetch features. It enables AI assistants to help with various tasks related to web workflows.

Features

Tools
Resources

Category

Web
Getting Started

To use the Fetch MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the Fetch MCP server
  3. Authenticate with your Fetch credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the Fetch MCP server
const server = await mcp.connect("fetch");

// Authenticate
await server.authenticate();

// Use a tool
const result = await server.tools.listRepositories({
  // Parameters
});

// Access a resource
const resource = await server.resources.repositoryContent({
  // Parameters
});

// Use a prompt
const response = await server.prompts.summarizePR({
  // Parameters
});
                      
Installation

npm

npm install @mcp/server-fetch

pip

pip install mcp-server-fetch
Compatible With
Claude for Desktop
Perplexity
Cursor
MCP Agent Framework