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BatterySnap

by battery-snap.com in AI models & inference

MCP serverPassing, checked 10 h ago

Real-world Android battery stats from BatterySnap users: device, model and fleet rankings.

https://mcp.battery-snap.com/mcp
Tools
13
open to any client
Uptime
100%
last 30 days
Response time
234 ms
269 ms slowest 5%
Last check
Passed
10 h ago, next any minute now

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "batterysnap": {
      "type": "http",
      "url": "https://mcp.battery-snap.com/mcp"
    }
  }
}

13 tools

  • brands

    Return the mobile devices brands for which we have battery statistics, along with the number of distinct models, the number of devices recorded per brand, and the largest single-model device count within the brand (`max_devices_per_model`). Each entry also includes a `url` to…

  • models

    Return the mobile devices models of the given brands for which we have battery statistics, along with the brand each model belongs to, the number of devices recorded, the average battery temperature in Celsius, and the min/max Android SDK level per model. Each entry is grouped…

  • devices

    Return the list of individual physical devices matching one or more (brand, model) pairs for which we have battery statistics. Each entry in the returned list describes ONE specific device (identified by its own `device_uid`) and the metrics on that entry are aggregates computed…

  • device_summary

    Return aggregated battery metrics for ONE specific device: average / min / max temperature, average battery level, mean charge time per power source (AC, USB, wireless) and mean discharge time over a recent (~2 weeks) and a long (~2 months) window, plus awake ratio and basic…

  • model_summary

    Aggregate battery metrics across ALL devices of a given brand+model. Returns mean / median / p25 / p75 / min / max for: temperature (C), battery level (%), discharge speed (hours per 100%%), AC / USB / wireless charge speed (hours per 100%%), and awake ratio. Use this to…

  • fleet_totals

    Live fleet-wide counters: total devices, models, snapshots, sessions, the running snapshot-ingest rate (snapshots/sec) and the timing of the last insert batch. Use this for one-shot 'how big is the dataset / how fast is it growing' questions. Unlike `fleet_summary`, no…

  • fleet_summary

    Aggregate battery metrics across the entire fleet, or across one brand when `brand` is provided. Returns mean / median / p25 / p75 / min / max for the same set of metrics as `model_summary`. Use this for fleet-wide baselines that a single device or model can be compared against.

  • top_devices_by_uptime

    Return the devices with the longest single uptime ever recorded between reboots (max_elapsed_time). Optionally filter by brand and/or model. Useful to find which physical phones in the fleet are champions of staying powered on for weeks/months at a time. Each entry includes a…

  • top_devices_by_live_uptime

    Same as `top_devices_by_uptime`, but restricted to devices that have not yet rebooted past their recorded maximum — meaning the uptime is currently still climbing. These are the devices that are 'live' champions right now, as opposed to historical record-holders. Each entry…

  • top_devices

    Rank INDIVIDUAL devices by any battery metric — the general-purpose leaderboard. Use it for 'which phones run hottest / last longest / charge fastest', optionally narrowed to one brand and/or model. Returns at most `limit` rows, so it answers superlative questions in a single…

  • top_models

    Rank device MODELS by any battery metric, aggregating across every device of that model. This is the tool for 'which phone model has the best battery life', 'which models charge fastest', 'which run hottest' — questions that would otherwise need one `model_summary` call per…

  • device_ranking

    Answer 'is MY phone normal?' — rank one device's metric against other devices of the same model AND against the whole fleet, in one call. Returns the device's value, its 1-based rank, its percentile, and the cohort median / mean / min / max for both cohorts. Prefer this over…

  • search

    Resolve free-form user text into the canonical brand / model identifiers the other tools expect. Meant for phones named in free text: the other tools match brands and models exactly, so a guessed spelling returns an empty list. Matching is substring-based and case-insensitive…

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