Knowledge Base MCP Server

Example Use Cases

• 1

  Perform semantic search across multiple knowledge bases.

• 2

  Retrieve relevant document chunks based on user queries.

• 3

  Keep knowledge base indexes updated automatically when content changes.

Description

This MCP server enables semantic search across various knowledge bases by generating embeddings with Hugging Face models and indexing content with FAISS. It automatically updates the index when knowledge base files change, allowing efficient retrieval of relevant document chunks. The server supports multiple knowledge bases and returns results with source references in markdown format, facilitating easy integration and usage within the MCP interface.