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  • A
    license
    A
    quality
    C
    maintenance
    MCP server for TQS structural engineering CAD/analysis software, enabling Claude to read building models, extract drawing data, run structural processing, and script against the TQS API.
    9
    MIT
  • F
    license
    C
    quality
    D
    maintenance
    Python MCP server for Oasys GSA COM API, enabling users to interact with GSA structural engineering software via COM automation on Windows.
    69
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to remotely control multiple computers via MCP: run commands, manage files, install software, view and control screens, and execute parallel tasks across machines.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables interaction with EPICS (Experimental Physics and Industrial Control System) process variables through natural language. Supports reading PV values, setting PV values, and retrieving detailed PV information for monitoring and controlling hardware or software parameters.
    1
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables retrieval, setting, and detailed information lookup of EPICS process variables (PVs) for monitoring and controlling hardware or software parameters.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Bridges AI assistants to seismology software (ObsPy, CWP/SU, SAC, PyGMT), allowing users to process seismic waveforms and perform analysis through natural language instead of writing code.
    1
    MIT
  • 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
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  • F
    license
    Not graded
    quality
    B
    maintenance
    A terminal emulator MCP server specifically engineered for LLMs with block-oriented design that organizes command input/output into recognizable blocks and semantic session management. Enables AI to efficiently use terminals for writing code, installing software, and executing commands without context overflow.
    1
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