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Related Servers

Alternatives to ABAQUS MCP Pro

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients like Claude Code or Cursor to control Abaqus/CAE in real time, including running Python scripts, reading ODB results, and capturing viewport screenshots.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables to interact with Abaqus FEA software through an MCP bridge, supporting connection checks, script execution, model queries, job submission, and simulation automation.
      3
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that enables controlling a live Abaqus/CAE session through natural language, allowing model inspection, job submission, ODB analysis, and viewport capture.
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables an AI assistant to drive Abaqus/CAE through file IPC—sending Python commands, querying model info, submiting jobs, and capturing viewport screenshots—so finite element models can be built and solved without manual GUI interaction.
      2
      -
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to automate COMSOL Multiphysics simulations, including model management, geometry building, physics configuration, meshing, solving, and results visualization through the MCP protocol.
      78
      MIT

    TDQS

    C2.6/5.0

    Scored across 110 tools

    Disambiguation2/5

    The set contains explicit wrappers/duplicates such as run_python/execute_script, inspect_odb/get_odb_info, and capture_viewport/get_viewport_image, plus overlapping tools like check_silent_failures/check_model_integrity and monitor_job_status/diagnose_job. Even with good individual descriptions, an agent will struggle to tell which tool is the intended one.

    Naming Consistency4/5

    Tool names are overwhelmingly snake_case and follow a consistent verb_noun pattern such as create_*, list_*, get_*, set_*, and check_*. Minor deviations like the bare 'ping', compatibility wrapper names, and _exp suffixes keep this from being a perfect 5.

    Tool Count1/5

    110 tools is far beyond the calibrated extreme-mismatch threshold of 50+. The surface includes several near-duplicate and subset tools that should be merged, making the overall tool count excessive for effective agent selection.

    Completeness3/5

    The workflow coverage is broad: parts, materials, meshes, steps, loads, BCs, contacts, job submission, diagnosis, ODB extraction, and reporting are all present. However, nearly every create_* entity lacks corresponding update/delete tools, so iterative correction requires the generic run_python escape hatch rather than a complete structured lifecycle.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues