技能潮 SkillTide 提交收录
官方说明3 个来源MCP 服务3 天前
augmentedivan/fabric-mcp-server

augmentedivan/fabric-mcp-server

Fabric patterns with AI agents
在 GitHub 查看 ↗直链 · 无中转页
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
评分构成
综合分 303 · 3 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

fabric-mcp-server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Table of Contents
1. Introduction
2. What is Model Context Protocol (MCP)?
3. Features
4. Tools
5. Installation
6. Usage
7. Configuration for Claude Desktop
8. Configuration for VS Code with Cline
9. Tips for Using with Different AI Agents
10. Troubleshooting
11. Contributing
12. License
Introduction
The fabric-mcp-server is a Model Context Protocol (MCP) server designed to expose Daniel Miessler's Fabric patterns as tools for integration with AI coding agents and assistants. This integration enhances AI capabilities by leveraging AI-driven pattern execution from the Fabric repository. The server works with various AI platforms including Claude Desktop, Cline, and other MCP-compatible AI agents.
What is Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is a specification that facilitates communication between AI systems and external tools or resources. It standardizes the way AI models interact with various capabilities such as databases, APIs, and file systems. MCP servers, like fabric-mcp-server, implement this protocol to make tools and resources accessible to AI models, thereby expanding their functional scope.
Features
- **Exposes Fabric Patterns as Tools**: The server makes all Fabric patterns available as individual tools within MCP-compatible AI agents.
- **Pattern Execution**: Users can select and execute Fabric patterns directly within AI assistant tasks.
- **Enhanced Capabilities**: Integrates AI-driven pattern execution to augment AI assistant functionality.
- **Cross-Platform Compatibility**: Works with Claude Desktop, Cline, and other MCP-compatible AI agents.
Tools
The fabric-mcp-server exposes a wide range of Fabric patterns as tools. Some examples include:
- analyze_claims
- summarize
- extract_wisdom
- create_mermaid_visualization
- And many more...
To see the full list of available patterns, you can list the directories in the fabric/patterns directory.
Installation
1. **Clone the Repository**: Clone the fabric-mcp-server repository to your local system.
2. **Install Dependencies**: Navigate into the fabric-mcp-server directory and run npm install.
3. **Build the Project**: Run npm run build to compile the TypeScript code.
Usage
To use the fabric-mcp-server with AI agents:
1. Ensure the server is installed and running.
2. Configure the MCP server in your AI agent's settings file.
3. Create a new task or conversation and select a Fabric pattern to use.
The specific configuration steps vary depending on which AI agent you're using. See the sections below for detailed instructions.
Configuration for Claude Desktop
To use fabric-mcp-server with Claude Desktop:
1. **Complete Installation**: Follow the installation steps above to build the project.
2. **Configure Claude Desktop**: Add the MCP server configuration to your Claude Desktop settings. The configuration file is typically located at:
- **Windows**: %APPDATA%\Claude\claude_desktop_config.json
- **macOS**: ~/Library/Application Support/Claude/claude_desktop_config.json
- **Linux**: ~/.config/Claude/claude_desktop_config.json
3. **Add Server Configuration**: Add the following to your claude_desktop_config.json:
来源
awesome · https://github.com/augmentedivan/fabric-mcp-server
按领域浏览
MCP 服务
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引