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Connect AI assistants to LightRAG for document management and multi-mode knowledge queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "lightrag-mcp" yet — see the docs or source repo.
Use lightrag-mcp to connect to my LightRAG knowledge base, retrieve design docs, key entity relationships, and recent updates related to the user permission system, then summarize them.
Returns relevant documents, entity relationships from the knowledge graph, and a consolidated summary.
Use lightrag-mcp to ingest this set of product requirement documents, index them by topic, and tell me the core modules, owners, and dependencies.
Ingests and indexes the documents, then outputs a structured thematic breakdown.
Using lightrag-mcp, search for knowledge related to payment failure troubleshooting with keyword, semantic, and graph-relation retrieval, then compare the differences.
Provides results from all three retrieval modes and compares them to help choose the best query method.
Connect LightRAG through MCP for unified retrieval and knowledge QA integration.
Connect MCP agents to Lighter trading with safe, controlled execution.
Connect AI to Lightdash for data discovery, chart creation, and dashboard management.
Intelligent RAG tool that chooses between private knowledge and web search.
Search LangGraph docs semantically and get context-aware answers fast.
Access GraphRAG research, implementation patterns, and best practices for building RAG systems.