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sandraschi

Robotics MCP Server

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables control of ROS/ROS2 robots through natural language commands by translating LLM instructions into ROS topics and services. Supports cross-platform WebSocket-based communication with existing robot systems without requiring code modifications.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables large language models to interact with ROS robots seamlessly, allowing natural language control, real-time sensor monitoring, and autonomous task execution without modifying existing robot code.
      Apache 2.0
    • A
      license
      A
      quality
      D
      maintenance
      Enables controlling robots in ROS environments through natural language, supporting topics, services, actions, and GUI tools.
      24
      36
      MIT

    TDQS

    C2.7/5.0

    Scored across 25 tools

    Disambiguation1/5

    Tool boundaries are severely unclear: `robot_virtual` and `vbot_crud` both provide vbot CRUD, `robot_control` and `dreame_control` both expose Dreame vacuum commands, and `drone_control`, `drone_flight_control`, and `drone_navigation` overlap heavily on flight and mission management. The portmanteau-style operation lists make it hard for an agent to know which tool is canonical for a given action.

    Naming Consistency2/5

    Most names are snake_case, but they do not follow a consistent action-oriented pattern: some use `_control`, some `_management`, some `_info`, some `_tool`, and some are arbitrary nouns like `robot_virtual`, `vbot_crud`, or `noetix_info`. This makes it difficult to predict tool names or to infer which tool will handle a specific operation.

    Tool Count3/5

    The 25-tool count is at the heavy end of a reasonable range for such a broad robotics server, but several tools are near-duplicates or one-off info helpers. The set would be easier to navigate if the overlap-free core were consolidated.

    Completeness3/5

    The surface covers many important areas: virtual robot lifecycle, model management, workflow CRUD, Dreame vacuum controls, drone subsystems, and marketplace lookup. However, `robot_manufacturing` lacks concrete operations, sim backend lifecycle management is only partially exposed, and `robotics_agentic_workflow`/`environmental_logistics_handler` are opaque additions that create coverage gaps.

    Maintenance

    ActivityActive
    ResponsivenessNo issues