fabric-mcp
8
Fabric MCP Server is a standalone server facilitating the integration of Fabric AI capabilities with Model Context Protocol (MCP)-enabled applications. It bridges the gap between the Fabric framework and MCP clients like IDE extensions, enhancing workflows through seamless tool integration.
Fabric MCP Server
Connect the power of the Fabric AI framework to any Model Context Protocol (MCP) compatible application. This project implements a standalone server that bridges the gap between Daniel Miessler's Fabric framework and the Model Context Protocol (MCP). It allows you to use Fabric's patterns, models, and configurations directly within MCP-enabled environments like IDE extensions or chat interfaces.
What is this?
- Fabric: An open-source framework for augmenting human capabilities using AI, focusing on prompt engineering and modular AI workflows.
- MCP: An open standard protocol enabling AI applications to securely interact with external tools and data sources.
- Fabric MCP Server: Acts as an MCP server, transforming MCP requests into calls to a running Fabric instance's REST API.
Key Goals & Features
- Seamless Integration: Enable use of Fabric patterns in MCP clients.
- Enhanced Workflows: Leverage Fabric's prompts and configurations in tools such as IDEs.
- Standardization: Follow the open MCP standard for AI tool integration.
- Leverage Fabric Core: Use existing Fabric CLI and REST API without core modifications.
How it Works
- An MCP Host connects to the Fabric MCP Server.
- The Host discovers tools via MCP's listing mechanism.
- MCP requests are translated into REST API calls to a running
fabric --serveinstance. - The Fabric instance executes the pattern and returns a response.