MCP server exposing 3 tools for opensensemap.
This URL is a JSON-RPC 2.0 endpoint over HTTP. Issue POST requests with a JSON-RPC body. Browsers and search crawlers land here on GET.
POST https://gateway.pipeworx.io/opensensemap/mcp
Content-Type: application/json
{"jsonrpc":"2.0","id":1,"method":"tools/list"}opensensemap_nearby — Find citizen science sensor stations (senseBox, openSenseMap network) near a lat/lon and return their latest readings — hyperlocal temperature, humidity, air pressure, PM2.5/PM10 air quality, illuminance, UV, noise. Answers "sensor readings near me", "what does the local air quality sensor say". Community-operated uncalibrated hardware: quality varies, so cross-check outliers. Filter to one measurement type with `phenomenon` (Phenomenon names on openSenseMap are mostly German (exact sensor titles): "Temperatur" (temperature °C), "rel. Luftfeuchte" (relative humidity %), "Luftdruck" (air pressure hPa), "PM2.5" and "PM10" (particulate matter µg/m³), "Beleuchtungsstärke" (illuminance lx), "UV-Intensität" (UV µW/cm²), "Lautstärke" (noise)). Stations silent for more than 7 days are skipped unless include_stale=true. Example: opensensemap_nearby({ latitude: 52.52, longitude: 13.405, phenomenon: "PM2.5" })opensensemap_box — Get one openSenseMap citizen science sensor station (senseBox) by its box id — full sensor readout with latest value, unit, and measurement time per sensor (temperature, humidity, PM2.5/PM10 air quality, pressure, noise...), plus location, exposure (outdoor/indoor/mobile) and station metadata. Box ids come from opensensemap_nearby. Community-operated uncalibrated sensors. Example: opensensemap_box({ box_id: "65e8d93acbf5700007f920ca" })opensensemap_area_average — Average one phenomenon across all citizen science sensors (openSenseMap / senseBox network) in an area — hyperlocal neighborhood-level temperature, PM2.5/PM10 air quality, humidity, pressure or noise from many independent community stations. Give either a bounding box or a center point + radius_km. Aggregates the latest reading per sensor over the recent window client-side (the network has no fast server-side aggregation). Phenomenon names on openSenseMap are mostly German (exact sensor titles): "Temperatur" (temperature °C), "rel. Luftfeuchte" (relative humidity %), "Luftdruck" (air pressure hPa), "PM2.5" and "PM10" (particulate matter µg/m³), "Beleuchtungsstärke" (illuminance lx), "UV-Intensität" (UV µW/cm²), "Lautstärke" (noise) — the name must match the sensor title exactly (e.g. "Temperatur", not "temperature"). Example: opensensemap_area_average({ phenomenon: "PM2.5", latitude: 52.52, longitude: 13.405, radius_km: 5 })Code samples (curl / TypeScript / one-click client install), schemas, and the live playground are on the pack page:
https://pipeworx.io/packs/opensensemap/
Pipeworx is an open MCP gateway connecting AI agents to live data. pipeworx.io