Skip to main content
Glama
jamesonBradfield

lightrag-docs-rag-mcp

by jamesonBradfield
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to lightrag-docs-rag-mcp

No user-submitted related servers found.

    Related Servers

    • lightrag-mcp

      TimaxLacs
      A
      license
      Not graded
      quality
      C
      maintenance
      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.
      97 npm
      MIT

    • mcp-rag-bridge

      zyay
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query and manage a document knowledge base via MCP, with RAG-powered search and grounded answers with citations.
      MIT

    • LightRAG MCP Server

      nailmailster
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI clients to interact with a LightRAG knowledge graph server via MCP, providing 30 tools for queries, document management, and graph operations.
      97 npm
      MIT

    • lightrag-mcp

      shemhamforash23
      F
      license
      Not graded
      quality
      D
      maintenance
      MCP server that bridges LightRAG API with MCP-compatible clients, enabling retrieval-augmented generation, document management, and knowledge graph operations.
      123
      -

    • Cognify MCP Server

      S3YED
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables document ingestion and typed knowledge graph queries through Claude MCP tools, allowing agents to extract, store, and retrieve typed entities and relations from documents.
      2
      MIT

    • aichallenge-rag

      ArtemKyslicyn
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables indexing a folder of documents or uploaded files into a Qdrant vector store and retrieving relevant chunks with cosine similarity, metadata filters, and heuristic reranking. Exposes rag_stats, rag_search, and rag_index tools over HTTP and Streamable HTTP MCP so clients can fetch ready-to-use context blocks without any built-in chat model.
      MIT
    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A4.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct operation: querying the graph, ingesting documents, and inspecting instance state. No two tools could be confused for one another.

    Naming Consistency5/5

    All tool names follow a consistent docs_ prefix with a clear verb suffix (query, ingest, stats). The pattern is uniform and predictable.

    Tool Count5/5

    Three tools cover the core RAG lifecycle (ingest, query, monitor) without redundancy. This is a well-scoped set for a focused documentation assistant.

    Completeness4/5

    The essential operations are present: adding documents, retrieving answers, and checking status. A delete or clear operation is the only notable gap, but it is not critical for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources