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echocharlie

Oura MCP Server

by echocharlie
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Python
Remote

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    • oura-mcp-server

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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 8 tools

    Disambiguation5/5

    Each tool targets a distinct data domain (stress, sleep detail, bedtime guidance, readiness breakdown, workouts, baselines, HR timeseries) with no overlap. The descriptions explicitly clarify differences, like separating actual bedtime from recommended bedtime.

    Naming Consistency5/5

    All tools follow the consistent pattern 'oura_get_<noun_phrase>' in snake_case. The verb 'get' is used uniformly, and the noun phrases clearly indicate the data type (e.g., 'stress_resilience', 'daily_summary', 'sleep_detail').

    Tool Count5/5

    With 8 tools, the server covers the major categories of Oura health data without being overly granular or sparse. Each tool earns its place, offering focused access to key metrics while avoiding unnecessary fragmentation.

    Completeness4/5

    The tool set covers most primary Oura data types (sleep, readiness, activity, HR, stress, baselines, workouts). Minor gaps exist, such as missing dedicated tools for user tags or activity detail beyond the summary, but the daily summary serves as a central join table that mitigates this.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources