Mcp Weather
Expose live weather data to your coding agent through MCP so you can prototype location-aware features without leaving the editor.
Overview
mcp-weather is a MCP server for the Build phase that is intended to expose weather data tools to coding agents via stdio, though the registry description is still a placeholder.
What is this MCP server?
- PyPI package mcp-weather-augee99 with stdio MCP transport
- Registry listing at version 1.0.0 placeholder—verify tool list in repo before production use
- Lightweight external-data MCP pattern for side projects and demos
- Fits agents that need forecast or conditions strings while scaffolding features
- Published on the official MCP registry with GitHub source augee99/mcp-weather
- Registry server version 1.0.0 with package version 0.1.0
- stdio transport via PyPI identifier mcp-weather-augee99
- Catalog description is placeholder text—tool count not stated in registry
What problem does it solve?
Builders repeatedly hand-roll weather HTTP calls in agent chats instead of a reusable MCP tool the model can call consistently.
Who is it for?
Solo developers experimenting with weather-driven UI or backend logic who want a tiny MCP bridge once the repo documents actual tools.
Skip if: Production forecasting products that need verified SLAs, rich historical archives, or enterprise meteorology APIs without reading source first.
What do I get? / Deliverables
After you install the PyPI stdio server and add it to MCP config, your agent can pull weather context while you code location-aware features.
- Agent-callable weather tools once documented upstream
- Reusable integration pattern for location-aware build work
- Local stdio MCP server entry in your agent config
Recommended MCP Servers
Journey fit
Weather MCP servers are typically adopted while building apps that need external environmental data, which maps to Build rather than launch marketing work. Integrations fits because the server’s job is bridging your agent to a weather provider over stdio PyPI transport, not owning UI or deployment.
How it compares
Single-purpose data MCP integration, not a journey-wide methodology skill or payment gateway.
Common Questions / FAQ
Who is mcp-weather for?
mcp-weather is for indie builders using MCP hosts who need basic weather access from the agent while building apps, pending confirmation of tools in the GitHub repo.
When should I use mcp-weather?
Use it during Build integrations when a feature needs live or forecast weather and you prefer MCP tools over inline fetch snippets in every prompt.
How do I add mcp-weather to my agent?
Install the PyPI package mcp-weather-augee99, configure stdio MCP in Claude Code or Cursor pointing at that entrypoint, and restart after verifying env vars in the repository README.