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Artefact Revenue Intelligence MCP Server

by fastmcp-me
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Python
Remote

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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

    A4.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of revenue intelligence: prospect qualification, customer RFM analysis, and pipeline health. No overlap in functionality.

    Naming Consistency5/5

    All tools use lowercase, underscore-separated verb-object patterns (qualify, run_rfm, score_pipeline_health). Consistent and predictable.

    Tool Count4/5

    Three tools cover the core domains of revenue intelligence, but the scope is broad enough that additional tools (e.g., for model management or forecasting) could be expected.

    Completeness4/5

    Covers prospect scoring, customer segmentation, and pipeline health. Minor gaps include lack of tools for historical trend analysis or custom model configuration without input parameters.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources