MCP server for Fabric AI patterns
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
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๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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.
Install Fabric (if not already installed):
See the official Fabric installation guide for detailed instructions.
Install yt-dlp (optional, for YouTube transcripts):
Download and Install:
fabric-mcp.mcpb from ReleasesTry it: Ask Claude: "List all fabric patterns"
run_fabric_patternIf you don't have Fabric installed, follow the official Fabric installation guide.
Required only if you want to fetch YouTube transcripts:
The easiest way to install:
fabric-mcp.mcpb from ReleasesThe .mcpb file is a self-contained bundle that includes everything needed.
If you want to build from source:
Then either:
.mcpb bundle: ./build-mcpb.sh (creates fabric-mcp.mcpb you can install)Note: If you installed using the
.mcpbbundle (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
Replace /absolute/path/to/fabric-mcp/ with your actual project path.
Optional environment variables (if needed):
Note: Manual configuration is required for Warp. Build from source or extract the
.mcpbbundle first.
Add to your Warp MCP configuration file:
macOS/Linux: ~/.warp/mcp_config.json
Replace /absolute/path/to/fabric-mcp/ with your actual project path.
Optional environment variables (if needed):
After configuration:
warp mcp reloadhealth_check - Check if Fabric, yt-dlp, and other dependencies are installed and configuredlist_fabric_patterns - List all available Fabric patternsrun_fabric_pattern - Run any Fabric pattern with custom inputget_youtube_transcript - Fetch transcript from YouTube videoThese tools streamline common workflows by fetching content and applying patterns in one step. Benefits:
analyze_youtube_video - Fetch YouTube transcript and apply a pattern in one stepanalyze_file - Read a file and apply a pattern in one stepanalyze_url - Fetch URL content and apply a pattern in one stepThese patterns are exposed as dedicated tools with the fabric_ prefix:
fabric_extract_wisdom - Extract key insights and quotes from contentfabric_summarize - Create concise summariesfabric_analyze_claims - Analyze and fact-check claimsfabric_analyze_paper - Analyze academic papersfabric_create_quiz - Generate quiz questionsfabric_to_flashcards - Convert content to flashcardsfabric_summarize_git_diff - Summarize git diffs for reviewsfabric_create_coding_project - Generate project structure from ideasfabric_explain_code - Explain code in simple termsfabric_analyze_logs - Analyze log filesfabric_analyze_incident - Analyze security incidentsfabric_improve_writing - Improve writing qualityExtract wisdom from a YouTube video:
Summarize an article:
Create flashcards from lecture notes:
Analyze a git diff:
For efficiency, use the combined tools that fetch and analyze in one step:
Claude can chain multiple patterns together:
Based on Daniel Miessler's Fabric patterns:
create_coding_project or similar patterns)summarize_git_diff)run_fabric_pattern with agility_story)to_flashcards)create_quiz)analyze_malware)analyze_logs)run_fabric_pattern)Ask Claude: "Run a health check" - this will verify:
Error: Failed to spawn fabric: ENOENT
Solutions:
which fabric and fabric --versionFABRIC_PATH in your MCP configError: Pattern not found: pattern_name
Solutions:
fabric --updatepatternsextract_wisdom not extractWisdom)Error: Failed to fetch YouTube transcript
Solutions:
brew install yt-dlp (macOS) or pip install yt-dlpyt-dlp --versionYTDLP_PATH in your MCP configNo reviews yet โ be the first to share how this listing worked for you.
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