Frequently Asked Questions about MCP Fetch

Q: What is MCP Fetch? A: MCP Fetch is a Model Context Protocol (MCP) server that allows Claude Desktop (or any MCP client) to fetch web content and process images.

Q: How does MCP Fetch work? A: MCP Fetch retrieves URLs from the Internet, extracts their content as markdown, and processes images for clipboard operations.

Q: What are the prerequisites for using MCP Fetch? A: You need Node.js 18+, macOS, Claude Desktop, and tsx installed.

Q: How do I install MCP Fetch? A: You can install MCP Fetch either via Smithery or manually by cloning the GitHub repository and running npm install and npm run build.

Q: How do I configure Claude Desktop to use MCP Fetch? A: Modify your Claude Desktop config file (~/Library/Application Support/Claude/claude_desktop_config.json) by adding the tool configuration with the path to your MCP Fetch installation.

Q: What accessibility settings are required? A: You need to enable Accessibility for Claude in System Settings to allow automated clipboard operations.

Q: What image processing limits are applied? A: Maximum 6 images per group, maximum height of 8000 pixels per group, and maximum size of 30MB per group.

Q: Can MCP Fetch handle animated GIFs? A: Yes, MCP Fetch automatically handles animated GIFs by extracting their first frame.

Q: Is MCP Fetch only for macOS? A: Yes, this tool is designed for macOS only due to its dependency on macOS-specific clipboard operations.

Q: What is the Model Context Protocol (MCP)? A: MCP is an open protocol that standardizes how applications provide context to LLMs.

Q: How does MCP Fetch relate to UBOS? A: UBOS can leverage MCP Fetch to access real-time web data, enriching AI Agent context and automating data integration into AI Agent workflows.