Model Context Protocol Server

Example Use Cases

• 1

  Index documents and serve context to language models

• 2

  Implement Retrieval Augmented Generation using MCP

• 3

  Local vector storage management for document embeddings

Description

The mcp-rag-server is a Model Context Protocol server designed to assist with Retrieval Augmented Generation (RAG) by indexing documents and providing relevant context to large language models via the MCP protocol. It supports indexing of documents in multiple formats and offers a customizable chunk size for text splitting. The server supports various embedding providers and manages a local vector store using SQLite, making it a versatile tool for enhancing LLM capabilities.