Enables LLM agents to query a structured knowledge library for search, explanations, related concepts, learning paths, examples, and cross-domain references via MCP.
Enables AI agents to query a persistent LightRAG knowledge base through any MCP client, offering both ready-made answers with source links and raw context retrieval for custom response generation.
Exposes a provenance-aware knowledge graph to AI agents over MCP, providing tools like get_fact and search_documents that return precise answers with source citations.
Enables searching and researching document collections through hybrid semantic search and agentic research queries with grounded, cited answers. It allows users to list collections, scan document sections, and retrieve full Markdown content via MCP-compatible agents.