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The fabric-mcp-server is an MCP server that integrates Fabric patterns with AI coding agents and assistants, exposing them as tools for AI-driven task execution and enhancing capabilities.
Configuration
View docs{
"mcpServers": {
"augmentedivan-fabric-mcp-server": {
"command": "node",
"args": [
"<path-to-fabric-mcp-server>/build/index.js"
]
}
}
}You run a Model Context Protocol (MCP) server that exposes Fabric patterns as reusable tools for AI assistants and coding agents. This lets you execute Fabric patterns directly from your AI workflow, expanding what your agents can do with pattern-based actions and visualizations.
To use the Fabric MCP Server with an MCP-capable AI client, start the server and configure your client to connect to it as an MCP tool provider. Once connected, you can browse available Fabric patterns as tools, pick a pattern relevant to your task, and instruct the AI agent to execute it. The server makes these patterns available across compatible agents such as Claude Desktop, Cline, and other MCP-enabled platforms, enabling you to trigger pattern execution within your conversations and tasks.
Prerequisites: ensure Node.js is installed and available in your system PATH. You may also need npm to install dependencies.
Step 1: Clone the repository.
Step 2: Install dependencies.
Step 3: Build the project.
Analyze claims within Fabric patterns or data sets to extract insights and highlight potential gaps.
Provide concise summaries of Fabric patterns, executions, or results to accelerate understanding.
Extract actionable knowledge or guidance from Fabric patterns to inform decisions.
Produce Mermaid diagrams to visualize Fabric patterns, workflows, or dependencies.