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fastmcp-me

Agent Knowledge MCP

by fastmcp-me
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Alternatives to Agent Knowledge MCP

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    Related Servers

    • MCP Elasticsearch Demo

      dev-com2020
      F
      license
      A
      quality
      C
      maintenance
      Enables LLM agents to search and retrieve a hybrid knowledge base of manuals, videos, PDFs, DOCX files and images through tools for hybrid BM25-plus-vector search with facet and tag filters, full document retrieval, semantically similar document lookup, and timestamped video transcript segments. It ships with an in-memory backend for instant local use and an identical Elasticsearch backend for production deployment over stdio or authenticated HTTP.
      5
      -

    • elasticsearch-mcp

      bpamiri
      A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.
      18
      Apache 2.0

    • MCP RAG Server

      0xrdan
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to search and retrieve information from your knowledge base using RAG (Retrieval-Augmented Generation) with hybrid search, document indexing, and ChromaDB vector storage.
      25 npm
      MIT

    • Crawl4AI RAG MCP Server

      adnan0758
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to crawl, index, and retrieve information from technical documentation using semantic search, with optional knowledge graph validation for code hallucination detection.
      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

    B3.3/5.0

    Scored across 27 tools

    Disambiguation4/5

    Most tools have distinct purposes, e.g., user advice vs. system management. However, 'ask_mcp_advice' and 'ask_user_advice' could be confused, and 'create_document_template' and 'validate_document_schema' both deal with document structure, causing mild ambiguity.

    Naming Consistency3/5

    Names mostly use snake_case and start with a verb (e.g., create_index, delete_document), but some start with a noun (e.g., server_status, elasticsearch_status). This inconsistency can confuse an agent looking for a pattern.

    Tool Count3/5

    With 27 tools, the server covers many operations but feels slightly heavy. While each tool has a specific role, the count is borderline for an MCP server, potentially overwhelming for an agent.

    Completeness4/5

    The tool set covers most essential operations for managing an Elasticsearch knowledge base: index, document, configuration, and server management. A minor gap is the lack of an explicit update document tool beyond indexing, but overall it is comprehensive.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources