kwanLeeFrmVi/mcp-rag-server
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A Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) by indexing documents and serving relevant context to Large Language Models.
Tools
Functions exposed to the LLM to take actions
embedding_documents
Add documents from directory path or file path for RAG embedding and store to DB. Supported file types: .json, .jsonl, .txt, .md, .csv
query_documents
Query indexed documents using RAG
remove_document
Remove a specific document from the index by file path
remove_all_documents
Remove all documents from the index
list_documents
List all document paths in the index
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client
documents
URI: rag://documents
MIME: null
null
embedding-status
URI: rag://embedding/status
MIME: null
null
