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tibber-mcp-server

by Schimmilab
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Python
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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

    A3.7/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools are clearly distinct: price, forecast, optimization, consumption, and live measurement each target different aspects. The only potential overlap is get_consumption and get_consumption_report, but descriptions clarify raw series vs. pre-aggregated comparison report.

    Naming Consistency5/5

    All data-fetching tools follow the get_ noun pattern, and find_cheapest_hours deliberately uses find_ to indicate search/optimization. Naming is consistent snake_case with predictable verb prefixes.

    Tool Count5/5

    Seven tools cover the core Tibber use cases (home info, prices, forecast, smart consumer scheduling, historical consumption, reports, live measurement) without redundancy or bloat. The count feels perfectly scoped for the server's purpose.

    Completeness5/5

    The tool surface covers the realistic Tibber workflow: understanding tariffs/homes, checking current and forecast prices, optimizing consumption timing, reviewing historical usage, and accessing live meter data. No obvious dead ends or missing essential operations for the domain.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources