Question 1

What is MCP Fetch?

Accepted Answer

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

Question 2

How does MCP Fetch work?

Accepted Answer

MCP Fetch retrieves URLs from the Internet, extracts their content as markdown, and processes images for clipboard operations.

Question 3

What are the prerequisites for using MCP Fetch?

Accepted Answer

You need Node.js 18+, macOS, Claude Desktop, and tsx installed.

Question 4

How do I install MCP Fetch?

Accepted Answer

You can install MCP Fetch either via Smithery or manually by cloning the GitHub repository and running `npm install` and `npm run build`.

Question 5

How do I configure Claude Desktop to use MCP Fetch?

Accepted Answer

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.

Question 6

What accessibility settings are required?

Accepted Answer

You need to enable Accessibility for Claude in System Settings to allow automated clipboard operations.

Question 7

What image processing limits are applied?

Accepted Answer

Maximum 6 images per group, maximum height of 8000 pixels per group, and maximum size of 30MB per group.

Question 8

Can MCP Fetch handle animated GIFs?

Accepted Answer

Yes, MCP Fetch automatically handles animated GIFs by extracting their first frame.

Question 9

Is MCP Fetch only for macOS?

Accepted Answer

Yes, this tool is designed for macOS only due to its dependency on macOS-specific clipboard operations.

Question 10

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs.

Question 11

How does MCP Fetch relate to UBOS?

Accepted Answer

UBOS can leverage MCP Fetch to access real-time web data, enriching AI Agent context and automating data integration into AI Agent workflows.

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