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rag-mcp

by sakshipr14
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Python
Hybrid

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    Related Servers

    • rag-mcp-server

      Mily-Lv
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to query a modular RAG knowledge hub with hybrid dense/sparse retrieval, reranking, multimodal image support, and traceable observability, all through natural language tools.
      MIT

    • RAG MCP Adapter

      ufigiabhi
      F
      license
      Not graded
      quality
      C
      maintenance
      Exposes an existing RAG API as MCP tools, enabling health checks and document-based question answering with source evidence.
      -

    • kb-mcp-server

      Doy369
      F
      license
      Not graded
      quality
      B
      maintenance
      Enables to build and query a knowledge base with retrieval-augmented generation, supporting document ingestion, hybrid search, and live data integration from external APIs via MCP tools.
      2
      -

    • mcp-rag-service

      Gurmeher23
      F
      license
      Not graded
      quality
      C
      maintenance
      A production-minded RAG service for MCP that answers questions over your documents with hybrid retrieval, PII redaction, and source citations, packaged for Docker/Kubernetes.
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: searching returns chunks, asking returns an answer with citations, listing documents provides an index, and health checks API availability. No overlap or ambiguity.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (search_knowledge_base, ask_knowledge_base, list_documents), but service_health breaks the pattern by using a noun phrase. The naming is still clear and consistent in snake_case.

    Tool Count5/5

    With only 4 tools, the server is tightly scoped for a RAG query service. Each tool is essential and there is no bloat or redundancy.

    Completeness4/5

    The core query workflow (search, ask, list) is covered, and health monitoring is included. However, there is no tool to add or remove documents, which may be a gap if the server is expected to manage the index, but it might be intentionally read-only.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources