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NOAA Climate — Historical Weather Records

NOAA Climate — Historical Weather Records MCP Server

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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.

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NOAA Climate — Historical Weather Records
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What is the NOAA MCP Server?

The NOAA MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to NOAA via 5 tools. 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. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (5)

get_climate_normalsget_daily_dataget_monthly_summaryget_yearly_summarysearch_stations

Tools for your AI Agents to operate NOAA

Ask your AI agent "Get daily temperatures for Central Park, NYC in January 2024" and get the answer without opening a single dashboard. With 5 tools connected to real NOAA data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

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Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

NOAA Climate — Historical Weather Records MCP Server capabilities

5 tools
get_climate_normals

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

get_daily_data

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

get_monthly_summary

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

get_yearly_summary

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

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

What the NOAA Climate — Historical Weather Records MCP Server unlocks

The planet's largest archive of daily weather records, freely accessible.

What you can do

  • Daily Data (GHCN-D) — Temperature, precipitation, snow, wind for 100K+ stations
  • Monthly Summaries (GSOM) — Monthly aggregates
  • Annual Summaries (GSOY) — Yearly climate data
  • Climate Normals — 30-year baseline (1991-2020)
  • Station Search — Find stations by location or name

Global Coverage

GHCN-Daily has worldwide stations, with densest coverage in the US, Europe, and Australia.

Frequently asked questions about the NOAA Climate — Historical Weather Records MCP Server

01

How far back does the data go?

GHCN-Daily records go back to the 1700s for some stations, with widespread coverage since the 1890s. Over 100,000 stations worldwide, with the densest network in the United States.

02

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.

03

Are observations available for international locations?

Yes, while NOAA is a US agency, the GHCN incorporates data from over 100,000 stations worldwide, though the highest density remains in North America, Europe, and Australia.

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Give your AI agents the power of NOAA MCP Server

Production-grade NOAA Climate — Historical Weather Records MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.