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sinhasulabh

Meridian Commercial Intelligence MCP Server

by sinhasulabh
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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

    A3.9/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool addresses a distinct commercial intelligence query: segment attainment, at-risk reps, pipeline value, deal loss reason, and capability listing. There is no overlap in purpose, making selection unambiguous.

    Naming Consistency4/5

    The majority of tools follow a 'get_' + object pattern (get_segment_attainment, get_reps_at_risk, get_pipeline_value, get_deal_reason), but 'list_supported_questions' deviates by using 'list_' instead. Minor inconsistency, otherwise predictable.

    Tool Count5/5

    Five tools is well-scoped for a commercial intelligence server. Each tool covers a distinct capability without bloat, and the count is appropriate for the domain.

    Completeness4/5

    The coverage includes key metrics (attainment, risk, pipeline, loss reasons) and a self-describing capability list. However, some common queries like win rate or quota details are absent, presenting minor gaps that agents may need to work around.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources