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Alternatives to preset-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      A comprehensive MCP server for Apache Superset. Gives AI assistants full control over your Superset instance — dashboards, charts, datasets, SQL Lab, users, roles, RLS, and more — through 137 tools.
      MIT
    • A
      license
      B
      quality
      F
      maintenance
      MCP server enabling AI agents to programmatically connect to and control Apache Superset instances, allowing users to manage dashboards, charts, databases, datasets, and run SQL queries through natural language interactions.
      60
      190
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server for Apache Superset that enables AI models to manage dashboards, create charts with auto-detection, and execute SQL queries programmatically. It utilizes stateless HTTP transport to ensure compatibility with integration tools like Open WebUI.
      153 npm
      MIT
    • F
      license
      B
      quality
      D
      maintenance
      An MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.
      34
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    • A
      license
      A
      quality
      A
      maintenance
      Full-featured MCP server for Apache Superset — 135+ tools for dashboards, charts, datasets, SQL Lab, security (users, roles, RLS, groups), audit, and more. Built-in safety validations.
      100
      634 PyPI
      56
      MIT

    TDQS

    B3.3/5.0

    Scored across 59 tools

    Disambiguation4/5

    Most tools target distinct resources (dashboards, charts, datasets, annotations, etc.), but there is overlap among validation and verification tools (validate_chart vs validate_chart_render vs verify_chart_workflow) that could confuse an agent. The core CRUD tools are well-separated.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., list_dashboards, create_chart, delete_annotation). Even compound tools like validate_chart_render maintain this pattern without mixing styles.

    Tool Count2/5

    With 59 tools, the server is over-scoped. While Preset is complex, many tools could be consolidated (e.g., multiple validate/verify tools, separate repair tools). Typically a well-scoped MCP server has 3-15 tools; this far exceeds that range.

    Completeness3/5

    The tool set covers most lifecycle operations for dashboards, charts, datasets, annotations, etc., but lacks delete operations for charts and datasets, which are important gaps. Import/export and repair tools are present, so overall it's decent but incomplete.

    Maintenance

    ActivityInactive
    ResponsivenessWithin a week