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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
      B
      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.
      -
    • F
      license
      C
      quality
      D
      maintenance
      An application that demonstrates the future of user interactions through natural language with LLMs, enabling user registration, authentication, and data interaction exclusively via Model Context Protocol (MCP) tools.
      11
      70
      -

    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

    ActivityMaintained
    ResponsivenessNo issues