Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-opensensemap what's the air quality in Munich right now?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
openSenseMap MCP — citizen-science environmental sensor network (opensensemap.org)
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tool | Description |
| 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 |
| 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" }) |
| 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). |
Related MCP server: OSM Edit MCP Server
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"opensensemap": {
"url": "https://gateway.pipeworx.io/opensensemap/mcp"
}
}
}tools/list at https://gateway.pipeworx.io/opensensemap/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Opensensemap data" })The gateway picks the right tool and fills the arguments automatically.
MIT
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Real-world data for agents: air quality, geocoding, quakes, holidays, web search
Find air-quality stations and read pollutant observations from government monitors via OpenAQ v3.
Access and analyze real-time geographic sensor data across various global locations. Identify specific data sources and monitor environmental or behavioral attributes through structured queries. Gain instant visibility into distributed physical assets and their performance metrics.
Global weather via Open-Meteo: forecast, ERA5 archive, marine, air quality, geocoding, elevation.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/pipeworx-io/mcp-opensensemap'
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