An MCP server that analyzes Python codebases using AST, stores code elements in a vector database, and enables natural language queries about code structure and functionality using RAG with Google's Gemini models.
Gemini model for embeddings
models/embedding-001Weaviate gRPC port
50051Max concurrent background LLM tasks (embeddings/descriptions/refinements)
5Set to true to enable background LLM description generation and refinement
trueWeaviate host address
localhostDistance threshold for semantic search
0.7File watcher polling interval in seconds
5Limit for semantic search results
5Gemini model for text generation
models/gemini-proYour Gemini API key
Weaviate HTTP port
8080Batch size for Weaviate operations
100Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
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