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Fabric MCP Server

@ksylvan

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

ksylvan

关于 Fabric MCP Server

Fabric MCP Server: Seamlessly integrate Fabric AI capabilities into MCP-enabled tools like IDEs and chat interfaces.

#open-source#ai#mcp#mcp-server

Fabric MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "fabric-mcp": {
      "command": "uv",
      "args": [
        "sync",
        "--dev"
      ]
    }
  }
}

Fabric MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Fabric MCP Server?

Fabric MCP Server is a standalone server that bridges Daniel Miessler’s Fabric AI framework with the Model Context Protocol (MCP), allowing Fabric’s patterns, models, and configurations to be used directly within MCP‑enabled applications such as IDE extensions or chat interfaces.

How to use Fabric MCP Server?

Install from PyPI with pip install fabric-mcp or uv pip install fabric-mcp. Run fabric-mcp with --stdio (default) for standard I/O transport or --http-streamable for HTTP‑based communication. The server requires a running Fabric REST API instance (fabric --serve). Configure the Fabric base URL, API key, and log level via the environment variables FABRIC_BASE_URL, FABRIC_API_KEY, and FABRIC_MCP_LOG_LEVEL.

Key features of Fabric MCP Server

  • Seamless integration of Fabric patterns into MCP clients
  • Empowers LLMs in IDEs to use Fabric’s specialized prompts
  • Adheres to the open MCP standard for AI tool integration
  • Builds on Fabric’s existing CLI and REST API without modifying core
  • Exposes MCP tools for listing patterns, running patterns, listing models, and retrieving configuration
  • Exposes Fabric pattern templates as MCP prompts for discovery and reuse

Use cases of Fabric MCP Server

  • Refactor code inside an IDE using a Fabric pattern invoked via MCP
  • Explain code or generate documentation by calling Fabric prompts from a chat interface
  • List available Fabric patterns and models directly from an MCP‑aware assistant
  • Run a custom Fabric workflow without leaving the editor

常见问题

1

What is Fabric?

Fabric is an open‑source framework focused on prompt engineering and modular AI workflows to augment human capabilities.

2

What is MCP?

MCP (Model Context Protocol) is an open standard that enables AI applications to securely interact with external tools and data sources.

3

How does Fabric MCP Server work?

An MCP host connects to this server, discovers tools and prompts, then sends requests. The server translates those requests into REST API calls to a running `fabric --serve` instance, which executes the pattern. The response is streamed back to the host.

4

What are the prerequisites?

Python 3.10 or newer, and a running Fabric REST API server (`fabric --serve`). For development, the `uv` tool is required.

5

What transport options are available?

The server supports standard I/O (`--stdio`, default) and HTTP streamable (`--http-streamable`) transports. For the HTTP transport, you can customize the host, port, and MCP endpoint path.

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