MCP server

BatterySnap Official

com.battery-snap/batterysnap

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

battery-snap.com (verified by the MCP Registry)

Status

Working at last check

Tools

13

Token cost

About 5,697 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http batterysnap https://mcp.battery-snap.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.batterysnap]
url = "https://mcp.battery-snap.com/mcp"

Gemini CLI

{"mcpServers":{"batterysnap":{"httpUrl":"https://mcp.battery-snap.com/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add batterysnap https://mcp.battery-snap.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"batterysnap","server_url":"https://mcp.battery-snap.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"batterysnap","server_url":"https://mcp.battery-snap.com/mcp"}

Tools

• brands ~685 tokens
  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 the public BatterySnap
• device_ranking ~421 tokens
  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 fetching `device_summar
• device_summary ~228 tokens
  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 device info. Also includ
• devices ~657 tokens
  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 only from THAT devic
• fleet_summary ~172 tokens
  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.
• fleet_totals ~136 tokens
  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 per-device aggregation is invo
• model_summary ~320 tokens
  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 characterize how a model beh
• models ~948 tokens
  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 by the resolved stree
• search ~243 tokens
  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 over brand, resolved m
• top_devices ~686 tokens
  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 small call instead of e
• top_devices_by_live_uptime ~294 tokens
  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 includes a `url` pointing
• top_devices_by_uptime ~312 tokens
  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 `device_uid` you can fe
• top_models ~595 tokens
  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 model. Ordering is by th

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