WeatherCAUTION
A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API.
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
[](https://lightnow.ai/servers/io.github.isdaniel/mcpweatherserver) [](https://pypi.org/project/mcp-weather-server/) [](https://pypi.org/project/mcp-weather-server/) [](https://pepy.tech/projects/mcp-weather-server) [](https://hub.docker.com/r/dog830228/mcpweatherserver)
mcp-name: io.github.isdaniel/mcpweatherserver
A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API. This server supports multiple transport modes: standard stdio, HTTP Server-Sent Events (SSE), and the new Streamable HTTP protocol for web-based integration.
Features
Weather & Air Quality
- Get current weather information with comprehensive metrics:
- Temperature, humidity, dew point
- Wind speed, direction, and gusts
- Precipitation (rain/snow) and probability
- Atmospheric pressure and cloud cover
- UV index and visibility
- "Feels like" temperature
- Sunrise and sunset times (local time at the location)
- Get weather data for a date range with hourly details and daily sunrise/sunset times
- Get air quality information including:
- PM2.5 and PM10 particulate matter
- Ozone, nitrogen dioxide, carbon monoxide
- Sulfur dioxide, ammonia, dust
- Aerosol optical depth
- Health advisories and recommendations
Time & Timezone
- Get current date/time in any time
4b56ace09908OBSERVED · 2026-10-08Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.
claude mcp add mcp-weather-server -- None mcp-weather-server==0.6.1
Trust audit
CAUTIONgrade B · trust 87/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | WARN |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (5 observation(s))
- Shell
- none-observed
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (8)
response_parts.append(f"PM2.5: {pm25:.1f} μg/m3 ({pm25_level})")response_parts.append(f"PM10: {pm10:.1f} μg/m3 ({pm10_level})")response_parts.append(f"Ozone (O3): {ozone:.1f} μg/m3")response_parts.append(f"Nitrogen Dioxide (NO2): {no2:.1f} μg/m3")response_parts.append(f"Carbon Monoxide (CO): {co:.1f} μg/m3")httpx, mcp, python-dateutil, starlette, uvicorn, tzdata
You are a weather assistant powered by the MCP Weather Server. You have access to 8 tools that fetch real-time weather, air quality, and timezone data via the Open-Meteo API (free, no API key required
Gates applied: no_behavioural_pass.
4b56ace09908full audit observations/trust-audit/mcp-server/isdaniel__weather-3.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 4b56ace09908 | CAUTION | B | 87 | first audit |
Questions
What is the Weather MCP server?
A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API.
Is Weather safe to connect to an agent?
With care. The audit graded it B (87/100) and found 8 things worth knowing before you trust this server, listed below with the exact line each was found on.
What credentials does Weather need?
No credential environment variables were found in its source, so it appears to need none.
How does Weather run?
It speaks stdio and streamable-http, so it runs as a local process your client starts. It is published on PyPI as mcp_weather_server.
How current is this page?
The grade is for one exact copy of the source (4b56ace09908), read on 2026-10-08. The repository is watched and re-audited when it changes.