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.Microsoft Clarity MCP Server

by surendranb
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Python
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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

    A3.5/5.0

    Scored across 7 tools

    Disambiguation4/5

    The three data tools overlap somewhat: get_ux_insights already surfaces rage clicks, dead clicks, quick backs, and JS errors that get_frustration_breakdown and get_js_errors cover in more depth. However, granularity distinguishes them (summary vs. dimension breakdown vs. focused error analysis), and the meta tools (doctor, skills_list, skill_read, check_for_updates) are clearly distinct.

    Naming Consistency3/5

    Data tools follow a clean get_<noun> pattern (get_ux_insights, get_frustration_breakdown, get_js_errors), but the rest deviate: skills_list and skill_read use noun_verb, check_for_updates uses verb_for_noun, and doctor is a bare noun. Mixed conventions, though all still readable.

    Tool Count5/5

    Seven tools is well-scoped for an analytics server: three domain tools for insights/frustration/errors plus four supporting utilities for auth, skills, and updates. Each tool earns its place with no redundancy in count.

    Completeness4/5

    Core workflows (overview insights, frustration breakdown, JS error analysis) are covered, along with credential validation and skill playbooks. Minor gaps exist—no raw session/heatmap retrieval, no multi-project or custom-range support beyond the 3-day window—but agents can work around these.

    Resources