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ahines99

portco-mcp

by ahines99
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Python
Hybrid

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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

    A3.6/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools map to distinct pipeline stages (profile, propose, review, generate, test, certify, publish), so an agent can largely tell them apart. However, start_onboarding_run and profile_schema both 'start a run' with profiling, and get_run_status overlaps list_pending_reviews on surfacing pending review items, creating minor boundary ambiguity.

    Naming Consistency4/5

    Tools follow a clear snake_case verb_noun pattern (start_onboarding_run, get_run_status, resume_run, submit_mapping_review, certify_run, publish_run, etc.). The lone exception is healthcheck, a bare noun that breaks the otherwise consistent convention.

    Tool Count5/5

    12 tools is well-scoped for a governed data-onboarding pipeline with multiple human gates. Each tool corresponds to a meaningful lifecycle stage or control operation, with no obvious redundancy bloating the surface.

    Completeness4/5

    The surface covers the full happy-path lifecycle: start, status, resume, profile, propose mapping, submit review, generate artifacts, sandbox test, certify, and publish, plus review listing and healthcheck. Missing abort/cancel and any run-listing or cleanup operations are minor gaps agents can work around.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues

    Resources