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leam-opt-mcp

by jacksonnnzzz
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    C2.7/5.0

    Scored across 22 tools

    Disambiguation2/5

    Multiple tools involve approval hashes and source refinement, making boundaries unclear (e.g., approve_antenna_source vs approve_antenna_engineering_assumption vs prepare_antenna_artifact_review). Pairs like refine_antenna_source and recheck_antenna_source appear to do nearly the same thing, causing likely misselection.

    Naming Consistency2/5

    Naming mixes antenna and hfss prefixes (create_antenna_modeling_job vs build_hfss_project) and includes a noun-phrase tool (antenna_server_health). Verb forms vary (create, generate, build, compile) and long names like regenerate_antenna_python_from_feedback break any clean pattern.

    Tool Count3/5

    With 22 tools, the server is on the heavy side, though the complexity of the domain (source analysis, modeling, simulation, optimization) justifies many steps. However, the number feels bloated due to overlapping tools that could be consolidated.

    Completeness4/5

    The toolset covers a full pipeline from source analysis through approval, Python generation, feedback, and HFSS optimization. Minor gaps exist (e.g., no job listing/cancellation, no pipeline status), but the core workflow is thoroughly covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources