open-meteo-mcp
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., "@open-meteo-mcpwhat's the weather in Lisbon this week?"
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.
open-meteo-mcp
An MCP server that gives any MCP client weather forecasts and current conditions for any city, backed by the free Open-Meteo API — no API key, no account.
Install
Requires Node 18 or newer. Nothing else — there is no API key and no configuration.
git clone https://github.com/jyotsna1357/open-meteo-mcp.git
cd open-meteo-mcp
npm install
npm run buildRelated MCP server: Weather MCP Server
Run
Connect it to Claude Code (run from the repo root, so $(pwd) resolves to the checkout):
claude mcp add weather -- node "$(pwd)/dist/index.js"Check it registered with claude mcp list, then ask: "What's the weather in Lisbon this week?"
For any other MCP client, add it to that client's config with an absolute path:
{
"mcpServers": {
"weather": {
"command": "node",
"args": ["/absolute/path/to/open-meteo-mcp/dist/index.js"]
}
}
}To run the server directly — it speaks JSON-RPC over stdin/stdout and will sit there waiting for a client, which is the expected behaviour:
npm start # run the built server
npm run dev # run from source, restarts on saveExample
examples/forecast.mjs starts the server and calls both tools:
import { fileURLToPath } from "node:url";
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";
const serverPath = fileURLToPath(new URL("../dist/index.js", import.meta.url));
const client = new Client({ name: "forecast-example", version: "1.0.0" });
await client.connect(new StdioClientTransport({ command: "node", args: [serverPath] }));
const forecast = await client.callTool({
name: "get_forecast",
arguments: { city: "Lisbon", days: 3 },
});
console.log(forecast.content[0].text);
await client.close();$ node examples/forecast.mjs
3-day forecast for Lisbon, Lisbon District, Portugal (times in Europe/Lisbon)
Sun 9 Aug — Partly cloudy
High 28.8°C / Low 21.0°C · Rain 0% chance, 0.0 mm · Wind up to 17.7 km/h
Mon 10 Aug — Partly cloudy
High 28.6°C / Low 20.5°C · Rain 0% chance, 0.0 mm · Wind up to 18.2 km/h
Tue 11 Aug — Partly cloudy
High 29.0°C / Low 20.6°C · Rain 0% chance, 0.0 mm · Wind up to 17.4 km/hAnd get_current returns:
Current conditions in Lisbon, Lisbon District, Portugal
As of Sun 9 Aug, 07:30 local time (Europe/Lisbon)
Partly cloudy, 21.1°C
Feels like: 24.2°C
Humidity: 90%
Wind: 3.6 km/h from the W
Precipitation: 0.0 mm in the last hour
Daylight: yesWhat's included
Two tools:
Tool | Arguments | Returns |
|
| One entry per day: conditions, high/low, chance and amount of rain, peak wind |
|
| Conditions, temperature, feels-like, humidity, wind, recent precipitation |
Both accept a plain city name and resolve it through Open-Meteo's geocoder, so "New York" and "Springfield, United States" both work.
src/
index.ts server setup, stdio transport, signal handling
format.ts WMO weather codes and readable text output
logger.ts stderr-only logging
api/
client.ts fetch with a 10s timeout, schema validation, error mapping
open-meteo.ts geocoding and forecast endpoints, response schemas
errors.ts WeatherError, the one error type raised on purpose
tools/
get-forecast.ts tool definition and Zod input schema
get-current.ts tool definition and Zod input schema
tool-result.ts turns any failure into readable tool content
examples/
forecast.mjs the example aboveEvery failure — an unknown city, a timeout, an upstream outage, a response whose shape changed — comes back as readable text with isError set, never as an empty result or a thrown exception. All logging goes to stderr, because stdout is the transport.
Why this exists
Most MCP examples are either a toy that echoes a string or a large server where the protocol is buried under application code. This is meant to be the thing in between: small enough to read in one sitting, complete enough to copy from. It wraps a real API with real failure modes, so the error handling, input validation, and output formatting are the parts worth stealing.
Limitations
These are deliberate. The server does not:
Support any unit but metric. Temperatures are °C, wind is km/h, precipitation is mm. There is no unit parameter.
Disambiguate city names. The geocoder's top match wins, which is usually the most populous. Ask for
"Springfield, United States"if the bare name is ambiguous — the resolved location is always named in the output, so you can tell when it guessed wrong.Forecast beyond 7 days. Open-Meteo itself offers up to 16; this caps at 7.
Provide hourly data. Forecasts are daily aggregates. Current conditions are a single reading, and its precipitation figure covers the preceding hour.
Cache anything. Every tool call hits the network. Open-Meteo's free tier is generous but rate-limited and non-commercial — check their terms before putting this in front of real traffic.
Retry failed requests. One attempt, 10-second timeout, then an error explaining what happened. Retrying is the caller's decision.
Geocode in languages other than English. The geocoder is queried with
language=en.Speak any transport but stdio. No HTTP or SSE.
Also out of scope on purpose: authentication, Docker, a test suite, and a Python port.
License
MIT — see LICENSE.
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
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