what is ProbonoBonobo_sui-mcp-server?
ProbonoBonobo_sui-mcp-server is a proof-of-concept implementation of a Machine Conversation Protocol (MCP) server that enables an AI agent to query a vector database and retrieve relevant documents for Retrieval-Augmented Generation (RAG).
how to use ProbonoBonobo_sui-mcp-server?
To use the MCP server, install it using pipx or manually, configure your environment variables, and run the server. You can then use various commands to download Move files, index documents, and query the vector database.
key features of ProbonoBonobo_sui-mcp-server?
- 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
- Simple client example
- Sample documents
use cases of ProbonoBonobo_sui-mcp-server?
- Retrieving relevant documents for AI queries.
- Enhancing AI responses with context from indexed documents.
- Searching and indexing Move files from GitHub repositories.
FAQ from ProbonoBonobo_sui-mcp-server?
- What is RAG?
RAG stands for Retrieval-Augmented Generation, a method that combines retrieval of documents with language model generation.
- How do I install the MCP server?
You can install it using pipx or manually by cloning the repository and installing dependencies.
- Can I use my own LLM with this server?
Yes! You can integrate your own LLM by providing the API key in the configuration.
