ProbonoBonobo_sui-mcp-server
If you are the rightful owner of ProbonoBonobo_sui-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This project provides a proof-of-concept implementation of a Machine Conversation Protocol (MCP) server that allows an AI agent to query a vector database and retrieve relevant documents for Retrieval-Augmented Generation (RAG).
The MCP Server with FAISS for RAG is designed to facilitate the integration of AI agents with vector databases for efficient document retrieval and processing. It leverages FastAPI to create MCP endpoints and integrates with the FAISS vector database for high-performance vector searches. The server supports document chunking and embedding, allowing for efficient data processing and retrieval. Additionally, it includes tools for extracting and processing Move files from GitHub, and integrates with Language Learning Models (LLMs) to complete the RAG workflow. The project is structured to be easily extendable, with features like authentication, enhanced document processing, and support for additional document types.
Features
- FastAPI server with MCP endpoints
- FAISS vector database integration
- Document chunking and embedding
- GitHub Move file extraction and processing
- LLM integration for complete RAG workflow
