mcp · Global

weather-mcp-server

A production-ready MCP server that provides weather tools, resources, and prompts for AI assistants using the Model Context Protocol (MCP).

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Data offered docs-verified: current conditions (temperature, humidity, wind, cloudiness) · 1-5 day forecast at 3-hour resolution · multi-city current-weather comparison (2-10 cities) · air quality index (1-5) and pollutant concentrations (CO, NO2, O3, PM2.5) · official severe-weather alerts/warnings
Coverage llm-inferred: Global
Resolution docs-verified: 3-hour forecast resolution
Formats docs-verified: JSON · MCP stdio
Access docs-verified: Free OpenWeatherMap API key (OPENWEATHER_API_KEY env var); server licence MIT

Use cases llm-inferred: Site weather briefing and fieldwork planning from current conditions and 5-day forecast · Air quality check for dust or construction-phase monitoring at a site city · Severe weather alert monitoring for outdoor civils or survey works · Multi-location weather comparison for choosing survey or site visit dates
Audience llm-inferred: civils engineers · environmental consultants · ecologists · site managers · planners

Constraints docs-verified: Weather alerts require a paid OpenWeatherMap API plan · New API keys can take a few minutes to a couple of hours to activate · Requires Python 3.12 or newer

Licence: MIT
Authentication: API key via env: OPENWEATHER_API_KEY (auto-extracted from README)
GitHub stars: 1
Last commit: 15/10/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 16/10/2026 · daily-2026-10-15 (github-search)