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Fabric MCP Server

An MCP (Model Context Protocol) server that provides access to Daniel Miessler's Fabric AI patterns. Access 227+ expert-crafted prompts for tasks like extracting wisdom, summarizing content, analyzing arguments, creating visualizations, and much more - all through Claude Desktop!

No API keys needed! Fabric patterns are pure prompts - this MCP server delivers them to Claude, which processes everything natively using its own intelligence. No external AI services, no vendor lock-in, no rate limits.

🔄 Auto-Updates! The server automatically checks for new patterns daily. Always stay current with the latest Fabric patterns!

📚 Documentation

What is Fabric?

Fabric is an open-source framework for augmenting humans using AI. It provides a modular system of expert-crafted prompts (called "patterns") for solving specific problems. Each pattern is a carefully designed system prompt optimized for tasks like:

  • extract_wisdom - Extract insights, ideas, quotes, and recommendations

  • summarize - Create concise summaries

  • analyze_claims - Evaluate arguments and claims

  • create_markmap - Generate mind map visualizations

  • explain_code - Explain code in plain language

  • improve_writing - Enhance written content

  • And 100+ more patterns!

Features

This MCP server brings Fabric patterns to Claude Desktop:

  • Access 227+ Fabric Patterns - All patterns from the official Fabric repository

  • Pure Prompt Library - No API keys, no external services, no configuration

  • Apply Patterns to Text - Use any pattern with your content

  • Browse Patterns - List and search available patterns

  • Automatic Caching - Patterns are cached locally for fast access

  • Read Pattern Prompts - View the full prompt for any pattern

  • Pattern Chaining - Combine multiple patterns for complex workflows

Installation

Prerequisites

  • Python 3.10 or higher

  • Claude Desktop

Install from source

  1. Clone or download this repository:

cd "C:\Users\jonat\OneDrive\Coding Projects\fabric-mcp"
  1. Install dependencies:

pip install -e .

Configure Claude Desktop

Add the server to your Claude Desktop configuration file:

Windows: %APPDATA%\Claude\claude_desktop_config.json

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

Linux: ~/.config/Claude/claude_desktop_config.json

Add this configuration:

{
  "mcpServers": {
    "fabric": {
      "command": "python",
      "args": [
        "-m",
        "fabric_mcp.server"
      ]
    }
  }
}

Or if you want to use the full path:

{
  "mcpServers": {
    "fabric": {
      "command": "python",
      "args": [
        "C:\\Users\\jonat\\OneDrive\\Coding Projects\\fabric-mcp\\fabric_mcp\\server.py"
      ]
    }
  }
}
  1. Restart Claude Desktop

Usage

Once configured, you can use Fabric patterns in Claude Desktop:

List Available Patterns

List all available Fabric patterns

or filter by keyword:

Show me all Fabric patterns related to "extract"

Apply a Pattern

Use the extract_wisdom Fabric pattern on this article: [paste article text]
Apply the summarize Fabric pattern to this content: [paste content]

View a Pattern

Show me the full prompt for the analyze_claims Fabric pattern

Available Tools

The MCP server provides four main tools:

1. apply_fabric_pattern

Apply any Fabric pattern to input text.

Parameters:

  • pattern - The name of the pattern to apply

  • input_text - The text content to process

Example:

Apply the extract_wisdom pattern to analyze this podcast transcript

2. list_fabric_patterns

List all available patterns, optionally filtered by keyword.

Parameters:

  • filter (optional) - Filter patterns by name

Example:

List all Fabric patterns containing "create"

3. get_fabric_pattern

Get the full prompt/instructions for a specific pattern.

Parameters:

  • pattern - The name of the pattern

Example:

Show me the full prompt for the improve_writing pattern

4. update_fabric_patterns

Force an immediate update of the pattern list from GitHub (bypasses cache).

Parameters:

  • None

Example:

Update my Fabric patterns

Returns:

  • Pattern count changes

  • List of new patterns added

  • List of patterns removed

Here are some of the most useful Fabric patterns:

  • extract_wisdom - Extract insights, ideas, quotes, habits, facts, and recommendations

  • summarize - Create concise summaries

  • explain_code - Explain code in plain language

  • improve_writing - Enhance written content

  • create_markmap - Generate markmap visualizations

  • analyze_claims - Analyze and evaluate claims

  • extract_article_wisdom - Extract insights from articles

  • create_quiz - Generate quiz questions

  • answer_interview_question - Help with interview prep

  • create_visualization - Create visual representations

  • rate_content - Rate content quality

  • check_agreement - Check if parties agree

  • find_logical_fallacies - Identify logical fallacies

  • create_stride_threat_model - Security threat modeling

  • recommend_artists - Get artist recommendations

And many more! Use list_fabric_patterns to see all available patterns.

How It Works

This is a pure prompt delivery system - no AI APIs involved!

  1. Pattern Discovery - The server fetches the list of available patterns from the Fabric GitHub repository

  2. Pattern Caching - Patterns are cached locally in ~/.cache/fabric-mcp/ for fast access

  3. Pattern Application - When you use a pattern, it combines the pattern prompt with your input text

  4. Claude Processing - Claude receives the complete prompt and processes your content natively

Architecture:

You → Claude Desktop → MCP Server → Fabric Pattern (prompt)
                    ↓
              Claude's LLM (processes everything locally)
                    ↓
                 Result

No external API calls, no vendor configuration, no rate limits!

Resources

Each Fabric pattern is also available as an MCP resource with the URI format:

fabric://pattern/{pattern_name}

For example:

  • fabric://pattern/extract_wisdom

  • fabric://pattern/summarize

  • fabric://pattern/analyze_claims

Prompting Strategies

Fabric patterns are expert-crafted prompts that encode best practices. Learn how to use them effectively:

Pattern Chaining

Combine multiple patterns for complex workflows:

1. extract_wisdom → Get insights
2. summarize → Condense insights
3. create_quiz → Test knowledge

Pattern Customization

Adapt patterns on-the-fly:

Use extract_wisdom but focus only on technical insights
and extract 10 ideas instead of 25

Multi-Pattern Analysis

Apply different perspectives:

Analyze this article with:
- extract_wisdom (insights)
- analyze_claims (arguments)
- rate_content (quality)

📚 For comprehensive prompting strategies, see PROMPTING_STRATEGIES.md

This includes:

  • Pattern selection guidelines

  • Chaining workflows

  • Best practices

  • Common patterns by use case

  • Advanced techniques

Troubleshooting

Patterns not loading

The server will try to load patterns from GitHub. If you're offline or experiencing issues:

  1. Check your internet connection

  2. The server caches patterns in ~/.cache/fabric-mcp/

  3. Check Claude Desktop logs for errors

Server not appearing in Claude

  1. Verify your claude_desktop_config.json is valid JSON

  2. Check that the Python path is correct

  3. Restart Claude Desktop completely

  4. Check Claude Desktop logs:

    • Windows: %APPDATA%\Claude\logs

    • macOS: ~/Library/Logs/Claude

    • Linux: ~/.config/Claude/logs

Credits

License

MIT License - See LICENSE file for details

The Fabric patterns themselves are from the Fabric project and maintain their original MIT license.

Contributing

Contributions welcome! This is a simple MCP wrapper around the Fabric patterns. To contribute:

  1. Fork the repository

  2. Create a feature branch

  3. Make your changes

  4. Submit a pull request

Support

For issues with:


Enjoy using Fabric patterns with Claude Desktop! 🎨✨

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