Skip to main content
Glama
Kamalesh-Kavin

rag-mcp

by Kamalesh-Kavin
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to rag-mcp

No user-submitted related servers found.

    Related Servers

    • Local RAG

      shinpr
      A
      license
      A
      quality
      A
      maintenance
      Privacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.
      22
      9
      5,156 npm
      401
      MIT

    • bigos

      FPGArtktic
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables fully local, cross-lingual retrieval over documents and source code by indexing files and providing search and ingest tools, with all data staying on the machine.
      GPL 2.0

    • Mimir

      jcode-works
      A
      license
      Not graded
      quality
      A
      maintenance
      Local-first memory and retrieval for private project knowledge. Enables indexing files, searching, and asking questions about project documents using local embeddings and LLM.
      6
      AGPL 3.0

    • mcp-rag

      elhassane1230
      A
      license
      A
      quality
      C
      maintenance
      Enables semantic search and question answering over a knowledge base using hybrid retrieval and grounded answers, all running offline with no API keys.
      4
      MIT
    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

    A4.5/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: index, delete, list, and search. No overlap or ambiguity in their functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (delete_document, index_document, search_docs, list_indexed_docs). The slight variation in list_indexed_docs is still predictable.

    Tool Count5/5

    4 tools is well-scoped for a RAG knowledge base server. It covers the essential operations without unnecessary bloat or missing core functionality.

    Completeness5/5

    The tool surface covers the complete lifecycle: indexing (create), listing (read), searching (query), and deleting. Update is handled via delete+re-index, which is acceptable for this domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources