ProbonoBonobo sui mcp server

WHAT IT CONNECTS

ProbonoBonobo sui mcp server 为 AI Agent 提供什么

• 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
• First, install pipx if you don't have it:
• Install the MCP Server package directly from the project directory:
• (Optional) Configure environment variables:
• Copy `.env.example` to `.env`
• Add your GitHub token for higher rate limits: `GITHUB_TOKEN=your_token_here`
• Add your OpenAI or other LLM API key for RAG integration: `OPENAI_API_KEY=your_key_here`
• Clone the repository
• Install dependencies:
• Searches repositories first, then recursively extracts Move files
• Supports multiple search keywords (comma-separated)
• Intelligently filters for Move files containing "use sui" references
• Always rebuilds the vector database after downloading
• Use the run script with the `--index` flag:
• Use the index script directly:
• `retrieve_documents`: Retrieve relevant documents for a query
• `index_documents`: Index documents from a directory
• **Search Query**: The user submits a question
• **Retrieval**: The system searches the vector database for relevant documents
• **Context Formation**: Retrieved documents are formatted into a prompt
• **LLM Generation**: The prompt is sent to an LLM with the retrieved context
• **Enhanced Response**: The LLM provides an answer based on the retrieved information
• **GitHub API** (preferred): Requires a GitHub token for higher rate limits
• **Web Scraping fallback**: Used when API method fails or when no token is provided
• Add authentication and security features
• Implement more sophisticated document processing
• Add support for more document types
• Integrate with other LLM providers
• Add monitoring and logging
• Improve the Move language parsing for more structured data extraction