The Fetch MCP runs as a **local stdio server** that makes outbound HTTP requests: - **Network Access**: The server fetches content from the internet on your behalf - **Local Execution**: Runs on your machine via uvx with network permissions - **No Authentication**: Fetches are made without credentials (public content only) **Security considerations**: Be aware that fetched URLs are requested from your machine's IP address. Avoid fetching from untrusted or potentially malicious URLs. The content fetched is processed locally, so malicious page content could theoretically be sent to your AI context.

To start using the Fetch MCP: 1. **Install uvx**: Ensure you have `uv` installed (Python's fast package installer) 2. **Add the server**: Configure your AI client with `uvx mcp-server-fetch` 3. **Start fetching**: Ask your AI to retrieve any web page by providing a URL **Example prompts**: - "Fetch the documentation from https://docs.example.com and summarize it" - "Get the content from this blog post and explain the key points" The clean markdown output makes it easy for your AI to process and reason about web content.