Integrate NOAA Climate — Historical Weather Records with Claude, Cursor, Chatbots & AI Agents MCP Server

Historical climate data from the planet's largest weather archive: GHCN-Daily temperature and precipitation records, monthly and yearly summaries, 30-year climate normals, and station search from NOAA's National Centers for Environmental Information.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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Get climate normals on NOAA Climate — Historical Weather Records

This is the statistical baseline that defines "normal" weather for any location. Get 30-year climate normals — the baseline for what is "normal" weather

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Get daily data on NOAA Climate — Historical Weather Records

This is the planet's largest archive of daily weather records. Filter by station, data types (TMAX, TMIN, PRCP, SNOW, SNWD), and date range. Stations are worldwide but densest coverage is in the US. Get daily weather data (GHCN-Daily): temperatures, precipitation, snow

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Get monthly summary on NOAA Climate — Historical Weather Records

Monthly aggregates of temperature averages, precipitation totals, and degree days. Less granular than daily but ideal for climate trend analysis. Get monthly climate summary (GSOM): average temp, total precipitation, heating degree days

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Get yearly summary on NOAA Climate — Historical Weather Records

Yearly temperature averages, precipitation totals, and extreme values. Perfect for long-term climate analysis spanning decades. Get annual climate summary (GSOY): yearly averages and extremes

Search stations on NOAA Climate — Historical Weather Records

Returns station IDs, names, and locations for use with other climate tools. Search NCEI weather stations by location bounding box or keyword

Security & Code Integrity Audit

Every tool in the NOAA Climate — Historical Weather Records MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

What is the difference between GHCN-D, GSOM, and GSOY?

GHCN-Daily provides day-by-day records. GSOM (Global Summary of the Month) aggregates these into monthly averages and totals. GSOY (Global Summary of the Year) provides annual summaries.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

What can AI Agents do with NOAA Climate — Historical Weather Records?

The NOAA Climate — Historical Weather Records integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.

Automating historical data with AI

Integrate the NOAA Climate — Historical Weather Records server to handle historical data requests natively. It provides the schemas required for ChatGPT and Cursor to manage the unthinkable data.

Optimizing climate science with Claude

Add NOAA Climate — Historical Weather Records to your workspace to support climate science automation. The integration processes the required parameters for the unthinkable execution by LLMs.