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:
- Install the MCP client SDK for your platform
- Connect to the Fetch MCP server
- Authenticate with your Fetch credentials
- 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