OpenWeatherMap
This OpenWeatherMap MCP server by Robert Niimi provides AI agents with weather data access through 11 specialized tools covering current conditions, forecasts (5-day, hourly, daily, minutely), air quality monitoring, weather alerts, and location services including geocoding. Built with TypeScript using the FastMCP framework and openweather-api-node client, it supports dual transport modes (stdio and HTTP stream) with session-based API client caching, comprehensive error handling, and flexible authentication via environment variables or Bearer tokens. The implementation integrates seamlessly with Claude Desktop through JSON configuration and includes MCP Inspector support for testing, making it valuable for AI-powered weather applications, travel planning tools, and intelligent assistants that need real-time meteorological data and location-based weather insights.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/robertn702/mcp-openweathermap
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve OpenWeatherMap from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.