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ClickTrail MCP

by vizuh
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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    C2.7/5.0

    Scored across 20 tools

    Disambiguation2/5

    Multiple tools overlap in diagnostic and validation purposes: validate_attribution_pipeline, diagnose_missing_click_ids, calculate_click_id_coverage, detect_attribution_gaps, and attribution_health all assess attribution health from slightly different angles, making selection ambiguous. The three send_* tools also differ only by payload type, adding further confusion.

    Naming Consistency4/5

    Nearly all tools follow a consistent verb_noun snake_case pattern (capture_, generate_, send_, verify_, etc.), which aids predictability. The lone exception is 'attribution_health', which breaks the pattern with a noun_noun construction, causing a minor inconsistency.

    Tool Count3/5

    With 20 tools, the server sits in the heavy range (16-25). The domain is broad, but many diagnostic and sending tools could be merged into fewer general-purpose tools without losing capability, making the count feel somewhat excessive.

    Completeness4/5

    The tool set covers the core attribution lifecycle: schema, integration generation, capture verification, conversion payload construction, delivery verification, diagnosis, and reconciliation. Minor gaps like a generic integration generator or direct conversion mutation exist but are workable for most agent workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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