An MCP server that exposes document retrieval as tools (semantic search and source listing) for any LLM, using a vector index built from DocPilot's ingestion pipeline.
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
MCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.