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by Falkicon • Search & Retrieval
A TypeScript MCP server that exposes a Retrieval-Augmented Generation pipeline for semantic search over local Fabric UX documentation using local embeddings and ChromaDB.
Search and retrieve relevant Fabric UX documentation chunks via semantic search.
Answer user questions grounded in up-to-date local documentation using a RAG pipeline.
A local, configurable knowledge base using ChromaDB and offline embedding models for private or offline deployments.
This repository provides a Model Context Protocol (MCP) server that indexes RAG-optimized Markdown docs from a local _docs_fabric_ux directory, generates embeddings with a local Xenova sentence-transformer, and stores vectors in a running ChromaDB server. Clients can call the askFabricDocs tool to perform semantic search and retrieve relevant document chunks (with metadata and similarity scores) for grounded generation. It is TypeScript-based, configurable via environment variables, supports stdio transport for local agents (e.g., Cursor), and is designed for local/offline workflows.
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