Fabric Mcp

io.github.mpzardePublished by GitHub account mpzardev1.0.0Updated Oct 24, 2026

MCP server for Fabric AI patterns

The publisher's own server: Fabric

Overview

AI-generated overview

Lets an assistant run Fabric AI patterns on text, files, URLs, and YouTube transcripts for summarization, analysis, and learning.

What you can do
Wraps the Fabric CLI so an assistant can list available patterns, run any pattern by name, and use pre-configured tools such as extract_wisdom, summarize, analyze_claims, create_quiz, to_flashcards, explain_code, summarize_git_diff, analyze_logs, and analyze_incident. Combined tools fetch content and apply a pattern in one step: analyze_youtube_video, analyze_file, and analyze_url. A health_check tool verifies that Fabric and yt-dlp are installed and configured.
When to use it
Useful when you want Fabric's pattern library available inside Claude Desktop or Warp for summarizing articles, extracting insights from videos, generating flashcards or quizzes, reviewing git diffs, or analyzing logs and incidents. It is a good fit if you already use Fabric and want its patterns reachable without leaving the assistant.
Requirements
Runs locally as a Node.js process over stdio, desktop only. Requires the Fabric CLI installed and on PATH, plus yt-dlp for YouTube transcripts. Optional environment variables FABRIC_PATH and YTDLP_PATH point to custom CLI locations. Fabric itself needs its own AI provider configuration and API keys.
Before you install
The server calls the Fabric CLI, which sends the content you pass to whichever AI provider Fabric is configured with, so avoid feeding it sensitive material unless that provider is acceptable. Pattern runs consume your Fabric provider quota and may time out on large inputs. It reads local files and fetches URLs when asked, so point it only at content you intend to share.

Installation

In SourceWeft

  1. Open Fabric Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Fabric MCP Server

Model Context Protocol (MCP) server for Fabric - Daniel Miessler's AI-powered content processing framework.

This MCP server allows Claude (via Claude Desktop or Warp CLI) to use Fabric's extensive collection of AI patterns for content analysis, summarization, learning, coding, security analysis, and more.

Quick Start

  1. Install Fabric (if not already installed):

    See the official Fabric installation guide for detailed instructions.

  2. Install yt-dlp (optional, for YouTube transcripts):

    bash
    # macOSbrew install yt-dlp
    # Linux/Windowspip install yt-dlp
  3. Download and Install:

    • Download fabric-mcp.mcpb from Releases
    • Double-click the file
    • Click "Install" in Claude Desktop
    • Restart Claude Desktop
  4. Try it: Ask Claude: "List all fabric patterns"

Features

  • 🚀 Direct CLI Integration: Uses Fabric CLI directly (no REST API server needed)
  • 🔧 19 Pre-configured Tools: Direct access to commonly-used Fabric patterns plus combined analysis tools
  • 🎯 Generic Pattern Runner: Run any Fabric pattern with run_fabric_pattern
  • 📺 YouTube Support: Fetch video transcripts directly (requires yt-dlp)
  • 🔍 Pattern Discovery: List all available patterns dynamically
  • 📁 File & URL Analysis: Process files and web content with Fabric patterns
  • 🏥 Health Check: Verify dependencies and configuration

Prerequisites

1. Install Fabric

If you don't have Fabric installed, follow the official Fabric installation guide.

2. Install yt-dlp (Optional)

Required only if you want to fetch YouTube transcripts:

bash
# macOSbrew install yt-dlp
# Linuxpip install yt-dlp# Or: sudo apt install yt-dlp (on Ubuntu/Debian)
# Windowspip install yt-dlp

3. Verify Installation

bash
# Test Fabricfabric --versionfabric --listpatterns
# Test yt-dlp (optional)yt-dlp --version

Installation

Option 1: Download and Install (Recommended) 🎉

The easiest way to install:

  1. Download the latest fabric-mcp.mcpb from Releases
  2. Double-click the downloaded file
  3. Claude Desktop will open and prompt you to install
  4. Click Install
  5. Restart Claude Desktop
  6. Done!

The .mcpb file is a self-contained bundle that includes everything needed.

Option 2: Build from Source

If you want to build from source:

bash
git clone https://github.com/mpzarde/fabric-mcp.gitcd fabric-mcpnpm installnpm run build

Then either:

  • Build the .mcpb bundle: ./build-mcpb.sh (creates fabric-mcp.mcpb you can install)
  • Configure manually: See Configuration section below for manual setup

Configuration

For Claude Desktop

Note: If you installed using the .mcpb bundle (Option 1), Claude Desktop configures this automatically. This section is only needed for manual builds.

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%/Claude/claude_desktop_config.json

json
{  "mcpServers": {    "fabric": {      "command": "node",      "args": ["/absolute/path/to/fabric-mcp/dist/index.js"]    }  }}

Replace /absolute/path/to/fabric-mcp/ with your actual project path.

Optional environment variables (if needed):

json
"env": {  "FABRIC_PATH": "/custom/path/to/fabric",  "YTDLP_PATH": "/custom/path/to/yt-dlp"}

For Warp CLI

Note: Manual configuration is required for Warp. Build from source or extract the .mcpb bundle first.

Add to your Warp MCP configuration file:

macOS/Linux: ~/.warp/mcp_config.json

json
{  "mcpServers": {    "fabric": {      "command": "node",      "args": ["/absolute/path/to/fabric-mcp/dist/index.js"]    }  }}

Replace /absolute/path/to/fabric-mcp/ with your actual project path.

Optional environment variables (if needed):

json
"env": {  "FABRIC_PATH": "/custom/path/to/fabric",  "YTDLP_PATH": "/custom/path/to/yt-dlp"}

Restart Claude/Warp

After configuration:

  • Claude Desktop: Restart the application
  • Warp: Restart the terminal or run warp mcp reload

Available Tools

Core Tools

  1. health_check - Check if Fabric, yt-dlp, and other dependencies are installed and configured
  2. list_fabric_patterns - List all available Fabric patterns
  3. run_fabric_pattern - Run any Fabric pattern with custom input
  4. get_youtube_transcript - Fetch transcript from YouTube video

Combined Analysis Tools

These tools streamline common workflows by fetching content and applying patterns in one step. Benefits:

  • ✅ No truncation: Complete content is passed directly to Fabric
  • ✅ More efficient: Single tool call instead of multiple
  • ✅ Better results: Fabric processes the full content without context window limits
  1. analyze_youtube_video - Fetch YouTube transcript and apply a pattern in one step
  2. analyze_file - Read a file and apply a pattern in one step
  3. analyze_url - Fetch URL content and apply a pattern in one step

Pre-configured Pattern Tools

These patterns are exposed as dedicated tools with the fabric_ prefix:

Content Analysis
  • fabric_extract_wisdom - Extract key insights and quotes from content
  • fabric_summarize - Create concise summaries
  • fabric_analyze_claims - Analyze and fact-check claims
  • fabric_analyze_paper - Analyze academic papers
Learning
  • fabric_create_quiz - Generate quiz questions
  • fabric_to_flashcards - Convert content to flashcards
Development
  • fabric_summarize_git_diff - Summarize git diffs for reviews
  • fabric_create_coding_project - Generate project structure from ideas
  • fabric_explain_code - Explain code in simple terms
Security & Operations
  • fabric_analyze_logs - Analyze log files
  • fabric_analyze_incident - Analyze security incidents
Writing
  • fabric_improve_writing - Improve writing quality

Usage Examples

With Claude Desktop

Extract wisdom from a YouTube video:

User: Can you extract the key insights from this video?       https://www.youtube.com/watch?v=dQw4w9WgXcQ
Claude: [Uses get_youtube_transcript + fabric_extract_wisdom]

Summarize an article:

User: Summarize this article: [paste article text]
Claude: [Uses fabric_summarize]

Create flashcards from lecture notes:

User: Convert these lecture notes into flashcards: [paste notes]
Claude: [Uses fabric_to_flashcards]

Analyze a git diff:

User: Review this git diff and summarize the changes:      [paste git diff output]
Claude: [Uses fabric_summarize_git_diff]

Combined Analysis Tools

For efficiency, use the combined tools that fetch and analyze in one step:

User: Extract wisdom from this YouTube video:      https://www.youtube.com/watch?v=example
Claude: [Uses analyze_youtube_video with pattern='extract_wisdom']
User: Summarize this article:      https://example.com/article
Claude: [Uses analyze_url with pattern='summarize']
User: Explain the code in /path/to/script.py
Claude: [Uses analyze_file with pattern='explain_code']

Chaining Patterns

Claude can chain multiple patterns together:

User: Get the transcript from this video, extract the wisdom,       then create flashcards from it.      https://www.youtube.com/watch?v=example
Claude: [1. Uses get_youtube_transcript][2. Uses fabric_extract_wisdom on transcript][3. Uses fabric_to_flashcards on extracted wisdom]

Use Cases

Based on Daniel Miessler's Fabric patterns:

Content Processing

  • YouTube video → extract wisdom / summarize
  • Article / blog post → summarize, analyze claims
  • Podcast transcript → extract wisdom, pull quotes

Writing & Development

  • Idea → essay (via create_coding_project or similar patterns)
  • Code diff → PR description (via summarize_git_diff)
  • Meeting notes → user stories (via run_fabric_pattern with agility_story)

Learning

  • Any content → flashcards (via to_flashcards)
  • Dense docs → glossary with analogies
  • Video/article → quiz (via create_quiz)

Security Analysis

  • Malware samples → analysis (via analyze_malware)
  • Log files → threat interpretation (via analyze_logs)
  • Security scans → rules (via run_fabric_pattern)

Troubleshooting

Check server health

Ask Claude: "Run a health check" - this will verify:

  • Fabric installation and version
  • Fabric configuration (API keys, patterns)
  • yt-dlp installation (for YouTube support)
  • Provide installation instructions if anything is missing

Common Issues

Fabric not found

Error: Failed to spawn fabric: ENOENT

Solutions:

  1. Install Fabric following the official installation guide
  2. Verify installation: which fabric and fabric --version
  3. If using a custom Fabric location, set FABRIC_PATH in your MCP config
Pattern not found

Error: Pattern not found: pattern_name

Solutions:

  1. Ask Claude to list all patterns: "List all fabric patterns"
  2. Update patterns: fabric --updatepatterns
  3. Check spelling - use underscores (e.g., extract_wisdom not extractWisdom)
YouTube transcripts not working

Error: Failed to fetch YouTube transcript

Solutions:

  1. Install yt-dlp: brew install yt-dlp (macOS) or pip install yt-dlp
  2. Verify: yt-dlp --version
  3. If using custom location, set YTDLP_PATH in your MCP config
MCP server not appearing in Claude

Solutions:

  1. Verify config file location:
    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%/Claude/claude_desktop_config.json
  2. Check JSON syntax with a validator
  3. Ensure path to dist/index.js is absolute
  4. Restart Claude Desktop completely
  5. Check logs: ~/Library/Logs/Claude/mcp-server-fabric.log
Pattern execution timeout

Error: Fabric command timed out

Solutions:

  • Large patterns may take time (default: 5 minutes)
  • Check your Fabric API keys and quota
  • Try with a smaller input first

Development

Build

bash
# Build TypeScript onlynpm run build
# Build complete .mcpb bundle./build-mcpb.sh

Watch mode

bash
npm run watch

Testing locally

bash
# Build the projectnpm run build
# Test the MCP servernode dist/index.js# Server will run on stdio and wait for MCP protocol messages
# Or use the health check to verify dependenciesecho '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"health_check","arguments":{}}}' | node dist/index.js

Architecture

┌─────────────────┐│  Claude/Warp    │└────────┬────────┘         │ MCP Protocol (stdio)         ▼┌─────────────────┐│  MCP Server     │ ← This project│  (Node.js)      │└────────┬────────┘         │ Direct CLI calls         ▼┌─────────────────┐│  Fabric CLI     ││  (fabric cmd)   │└────────┬────────┘         │         ▼┌─────────────────┐│  AI Patterns    ││  OpenAI/etc.    │└─────────────────┘

The MCP server:

  1. Exposes Fabric patterns as MCP tools
  2. Calls Fabric CLI directly with pattern names and input
  3. Returns results back to Claude/Warp
  4. No REST API server needed - uses CLI interface

Resources

License

MIT

Contributing

Contributions welcome! Please open an issue or PR.

Credits

Source: README.md at commit dc3238e

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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