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mcp-WeatherGPT

AI-powered weather analytics using MCP, FastAPI, React, Groq and Qwen

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Data offered docs-verified: current weather conditions (selected city) · daily temperature and precipitation forecast · historical daily weather records (date range) · rainfall totals and monthly summaries · period-to-period rainfall comparison
Formats docs-verified: JSON
Access docs-verified: Requires a Groq API key (GROQ_API_KEY) for the AI assistant. Weather data comes from a configured Open-Meteo MCP endpoint (MCP_URL); its access terms are not stated. Licence not stated; docs say one must be chosen before public distribution.

Use cases llm-inferred: Historical rainfall totals and monthly summaries for a site's catchment city over a project period · Comparing rainfall between a baseline period and a recent period for drainage or flood context · Short-term forecast check of temperature and precipitation to plan site visits or fieldwork
Audience llm-inferred: hydrologists · flood consultants · drainage engineers · civils engineers · environmental consultants

Constraints llm-inferred: Availability and historical coverage depend on the upstream Open-Meteo MCP service and the requested dates · Depends on a third-party hosted MCP endpoint · Requires a Groq API key for the AI assistant · No licence chosen yet · Full FastAPI and React application to install and run, not a standalone MCP server · AI explanations are not guaranteed to be grounded in returned data

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

Daily discovery 2026-10-16: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-16 (github-search)