1818TusculumSt/fabric-mcp-server
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The Fabric MCP Server provides access to Daniel Miessler's Fabric AI patterns, enabling users to apply expert-crafted prompts for various tasks through Claude Desktop without the need for API keys.
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
- - Get started in 5 minutes
- - How automatic pattern updates work
- - How to use patterns effectively
- - How the system works
- - Why zero AI configuration is needed
- - Project overview
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
- Clone or download this repository:
cd "C:\Users\jonat\OneDrive\Coding Projects\fabric-mcp"
- 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"
]
}
}
}
- 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 applyinput_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
Popular Patterns
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!
- Pattern Discovery - The server fetches the list of available patterns from the Fabric GitHub repository
- Pattern Caching - Patterns are cached locally in
~/.cache/fabric-mcp/for fast access - Pattern Application - When you use a pattern, it combines the pattern prompt with your input text
- 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_wisdomfabric://pattern/summarizefabric://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
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:
- Check your internet connection
- The server caches patterns in
~/.cache/fabric-mcp/ - Check Claude Desktop logs for errors
Server not appearing in Claude
- Verify your
claude_desktop_config.jsonis valid JSON - Check that the Python path is correct
- Restart Claude Desktop completely
- Check Claude Desktop logs:
- Windows:
%APPDATA%\Claude\logs - macOS:
~/Library/Logs/Claude - Linux:
~/.config/Claude/logs
- Windows:
Credits
- Fabric Framework by Daniel Miessler
- All patterns are from the Fabric repository
- Built with Model Context Protocol
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:
- Fork the repository
- Create a feature branch
- Make your changes
- Submit a pull request
Support
For issues with:
- This MCP Server - Open an issue in this repository
- Fabric Patterns - See the Fabric repository
- MCP Protocol - See the MCP documentation
Enjoy using Fabric patterns with Claude Desktop! 🎨✨