pulsemcp Safe content atomic mcp-remote

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.

Cognium trust score
50%
Tier
Unverified

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
Author type
human
Updated
2026-04-29
View source Find related skills

Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

Search SkillsRegistry