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CDP MCP Server

by atharva-joshi77
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Python
Remote

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    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

    C2.9/5.0

    Scored across 293 tools

    Disambiguation4/5

    The tools are well-differentiated by resource type and action, with clear naming like 'cdp_create_campaign' and 'cdp_get_campaign'. However, some overlap exists in cache operations (e.g., 'cdp_cache_get_by_id' vs 'cdp_cache_get_by_key') and workflow actions (e.g., 'cdp_run_workflow' vs 'cdp_invoke_workflow_action'), which could cause minor confusion. Overall, the descriptions help clarify distinctions, but the sheer volume of tools increases the risk of misselection.

    Naming Consistency5/5

    Tool names follow a highly consistent pattern throughout: all start with 'cdp_' prefix, use snake_case, and follow a verb_noun structure (e.g., 'create_campaign', 'list_connectors', 'update_user'). There are no deviations in style or convention, making the naming predictable and easy to parse.

    Tool Count2/5

    With 293 tools, the count is extremely high and feels overwhelming for a single server. While CDP is a complex platform, this many tools suggests poor scoping and could lead to agent confusion. A more modular approach with multiple focused servers would be more appropriate, as this exceeds typical reasonable bounds (e.g., 3-15 tools for well-scoped servers).

    Completeness5/5

    The tool set provides comprehensive coverage of the CDP domain, including full CRUD operations for resources like campaigns, connectors, reports, and users, along with specialized actions (e.g., workflow execution, data export, audience calculation). There are no obvious gaps; the tools support the entire lifecycle and advanced functionalities, ensuring agents can handle complex workflows without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources