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Fabric MCP

作者:mpzarde版本 1.0.0i★ –i在你的电脑上运行
注册名称io.github.mpzarde/fabric-mcp

安装

概览

作者提供的说明(英文原文)

MCP server for Fabric AI patterns

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: FABRIC_PATH, YTDLP_PATH

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "fabric": {
      "command": "npx",
      "args": [
        "-y",
        "@angrydad67/fabric-mcp-server"
      ],
      "env": {
        "FABRIC_PATH": "your-value",
        "YTDLP_PATH": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add fabric --env FABRIC_PATH=your-value --env YTDLP_PATH=your-value -- npx -y @angrydad67/fabric-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "fabric": {
      "command": "npx",
      "args": [
        "-y",
        "@angrydad67/fabric-mcp-server"
      ],
      "env": {
        "FABRIC_PATH": "your-value",
        "YTDLP_PATH": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "fabric": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@angrydad67/fabric-mcp-server"
      ],
      "env": {
        "FABRIC_PATH": "your-value",
        "YTDLP_PATH": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • FABRIC_PATH env
    Custom path to Fabric CLI (optional, uses PATH by default)
  • YTDLP_PATH env
    Custom path to yt-dlp CLI (optional, uses PATH by default)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 mpzarde 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18348 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18348 个服务器的 2% 更新
  • 基础检查结果等于或优于此分类中其他 18348 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Fabric MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于9个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, 好縮 Short

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

好縮 Short

作者:gooonamee

Smart URL shortener: create, tag and track short links on s.gooo.name.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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.

  1. Install yt-dlp (optional, for YouTube transcripts):
   # macOS

brew install yt-dlp

Linux/Windows

pip install yt-dlp

  1. Download and Install:
  • Download fabric-mcp.mcpb from Releases
  • Double-click the file
  • Click "Install" in Claude Desktop
  • Restart Claude Desktop
  1. 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:

# macOS

brew install yt-dlp

Linux

pip install yt-dlp

Or: sudo apt install yt-dlp (on Ubuntu/Debian)

Windows

pip install yt-dlp

3. Verify Installation
# Test Fabric

fabric --version fabric --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:

git clone https://github.com/mpzarde/fabric-mcp.git

cd fabric-mcp npm install npm 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

{

"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):

"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

{

"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):

"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
  1. Check JSON syntax with a validator
  2. Ensure path to dist/index.js is absolute
  3. Restart Claude Desktop completely
  4. 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
# Build TypeScript only

npm run build

Build complete .mcpb bundle

./build-mcpb.sh

Watch mode
npm run watch
Testing locally
# Build the project

npm run build

Test the MCP server

node dist/index.js

Server will run on stdio and wait for MCP protocol messages

Or use the health check to verify dependencies

echo '{"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

  • Fabric: https://github.com/danielmiessler/Fabric
  • yt-dlp: https://github.com/yt-dlp/yt-dlp
  • MCP Documentation: https://modelcontextprotocol.io
  • MCP SDK: https://github.com/modelcontextprotocol/typescript-sdk

License

MIT

Contributing

Contributions welcome! Please open an issue or PR.

Credits

  • Fabric by [Daniel Miessler](https://gith

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx