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Alternatives to MDM MCP

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to manage CRM data including companies, contacts, prospects, pipelines, forecasts, and tasks via typed MCP tools, with local SQLite storage and a JSON CLI.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server that enables AI agents to read and write records in a live REST API generated from pasted data, with tools for listing, querying, inserting, updating, and deleting records.
      AGPL 3.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to store, search, assemble, and manage local-first memories through seven MCP tools, including conversation turns, feedback, status, and dashboard access without cloud dependencies.
      AGPL 3.0
    • F
      license
      Not graded
      quality
      C
      maintenance
      It enables LLMs to query enterprise data such as sales orders, stock levels, and vendor information through structured MCP-compliant tools, using localized JSON databases for demonstration.
      -

    TDQS

    A4.5/5.0

    Scored across 16 tools

    Disambiguation5/5

    Every tool targets a distinct resource and action: dataset discovery, schema manipulation, row CRUD, search, validation, aggregation, and file import/export. Even similar operations like update_rows, delete_rows, and search_rows are clearly separated by intent and behavior.

    Naming Consistency5/5

    All 16 tools follow a consistent verb_noun snake_case pattern (create_dataset, add_column, search_rows, export_rows, etc.). The few descriptive verbs like describe_dataset, summarize_dataset, and validate_rows still fit the same predictable convention.

    Tool Count4/5

    At 16 tools, the server is slightly above the ideal 3-15 band, but the count is well-justified by the full CRUD surface for datasets, columns, and rows plus import/export. Each tool has a non-overlapping purpose and earns its place.

    Completeness4/5

    The surface covers dataset lifecycle, column management, row CRUD, search, validation, summarization, and file import/export. Minor gaps exist, such as no rename/update-dataset-metadata operation, but agents can work around these without dead ends.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues