Fabric MCP — AI skill for Claude Code
The Fabric MCP is a powerful integration that connects Anthropic's Claude with Fabric's AI pattern framework.
How to install Fabric MCP
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open 48Nauts-Operator/fabric-mcp and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Fabric MCP does
The Fabric MCP is a powerful integration that connects Anthropic's Claude with Fabric's AI pattern framework. It processes YouTube videos and various content types through a unified API.
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README
Fabric MCP
[](https://opensource.org/licenses/MIT)
A Model Context Protocol (MCP) server for integrating Fabric with Claude and other AI assistants.
Overview
This MCP server allows Claude to interact with Fabric, enabling operations like:
- Getting YouTube video information
- Transcribing YouTube videos
- Extracting wisdom from videos
- Analyzing claims in content
- Extracting interesting parts from videos
- Rating content quality
- Writing essays
- Summarizing academic papers
- Creating AI art prompts
- Explaining code
- Improving documentation
- Creating social media posts
Setup
- Clone this repository
- Install dependencies:
npm install - Start the MCP server:
./simple-mcp-server.js - Start the Fabric server:
npm start - Verify the MCP server is running:
curl http://localhost:8765/health
Using with Cursor
- Open Cursor
- Configure the MCP in Cursor settings:
- MCP URL:
http://localhost:8765/sse - Configuration file:
/Users/jarvis/0200_projects/dev/MCP-Projects/fabric-mcp/fabric-mcp-config.json
- MCP URL:
- Use the
/mcpcommand in Cursor to interact with Fabric
Example Commands
Get Video Info
/mcp get_video_info youtubeUrl=https://www.youtube.com/watch?v=dQw4w9WgXcQ
Transcribe YouTube Video
/mcp transcribe_youtube youtubeUrl=https://www.youtube.com/watch?v=dQw4w9WgXcQ
Extract Wisdom
/mcp extract_wisdom youtubeUrl=https://www.youtube.com/watch?v=dQw4w9WgXcQ
Troubleshooting
- If you encounter a "Client closed" error, make sure both the MCP server and Fabric server are running.
- Check the logs in
mcp-server.logfor any errors. - Ensure the operation names in your requests match exactly with the supported operations.
- If Cursor shows "No tools available", try restarting Cursor or checking the MCP server logs.
- Verify the MCP server is working with: `curl h
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