NOAA Climate Connector for AI agents.
5 live capabilities
Access historical weather data and climate normals for research.
Waiting for input…
Why people use NOAA Climate
NOAA Climate. Historical Weather Records for Climate Research
This Connector cuts out the middleman. You just tell your agent what location and timeframe you need, and it pulls the data directly. You go from manual data scraping to having a clean dataset ready for analysis in seconds.
What Vinkius changes
You get instant access to massive weather archives without the manual data scraping.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Comparing multi-decade precipitation trends
A researcher needs to see if a region has become drier over 20 years.
- Real-world use case 02
Establishing flood risk baselines
An urban planner wants to know the normal rainfall for a new construction site.
- Real-world use case 03
Verifying historical heatwave records
A journalist is writing about a record-breaking heatwave.
Complete set · 5capabilities
The complete NOAA Climate capability set.
These are the exact actions your AI can choose when you ask it to work with NOAA Climate.
01—03
3 capabilities in this set.
Part of 5 available through NOAA Climate.
- 01 Capability
Get yearly summary
Retrieve annual climate totals, averages, and extreme values for long-term historical research.
- 02 Capability
Get climate normals
Fetch the 30-year statistical baseline for normal weather in any specific location.
- 03 Capability
Search stations
Find specific weather station IDs and locations using keywords or geographic bounding boxes.
04—05
2 capabilities in this set.
Part of 5 available through NOAA Climate.
- 04 Capability
Get daily data
Pull daily temperature, precipitation, snow, and wind data for over 100,000 global stations.
- 05 Capability
Get monthly summary
Get monthly averages for temperature, precipitation, and heating degree days for trend analysis.
Set up in minutes
One URL. Then ask NOAA Climate to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use NOAA Climate from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_u0kg4jl1RNC08a6Ke5Pdh2GCRH1JzOjNnn3S9FfW/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it NOAA Climate, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable NOAA Climate for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_u0kg4jl1RNC08a6Ke5Pdh2GCRH1JzOjNnn3S9FfW/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the NOAA Climate URL.
- Step 03
Save and start
Save the connection and enable NOAA Climate in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"noaa-climate-historical-weather-records": {
"url": "https://edge.vinkius.com/vk_preview_u0kg4jl1RNC08a6Ke5Pdh2GCRH1JzOjNnn3S9FfW/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using NOAA Climate
Open Agent mode in chat and ask: "Using NOAA Climate, help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"noaa-climate-historical-weather-records": {
"url": "https://edge.vinkius.com/vk_preview_u0kg4jl1RNC08a6Ke5Pdh2GCRH1JzOjNnn3S9FfW/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using NOAA Climate
Ask Copilot: "Using NOAA Climate, help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"noaa-climate-historical-weather-records": {
"url": "https://edge.vinkius.com/vk_preview_u0kg4jl1RNC08a6Ke5Pdh2GCRH1JzOjNnn3S9FfW/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using NOAA Climate
Open Cascade and ask: "Using NOAA Climate, help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"noaa-climate-historical-weather-records": {
"url": "https://edge.vinkius.com/vk_preview_u0kg4jl1RNC08a6Ke5Pdh2GCRH1JzOjNnn3S9FfW/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using NOAA Climate
Ask Cline: "Using NOAA Climate, help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add noaa-climate-historical-weather-records --transport http "https://edge.vinkius.com/vk_preview_u0kg4jl1RNC08a6Ke5Pdh2GCRH1JzOjNnn3S9FfW/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using NOAA Climate
Ask Claude: "Using NOAA Climate, show me...". 5 tools are ready
Where the request belongs
Work NOAA can move forward.
This is for researchers, urban planners, and environmental scientists who need to move past guessing and start using hard, historical climate data for their projects.
Climatologist
Analyzes long-term trends to write research papers or government reports.
Urban Planner
Looks at 30-year normals to plan for future infrastructure and flood risks.
Agricultural Researcher
Checks historical precipitation and temperature for crop yield modeling.
Environmental Consultant
Provides verifiable weather data for environmental impact assessments.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Open-Meteo Historical Weather
Unlock 84 years of global weather history (1940–present): temperature, precipitation, wind, and snow data for any coordinate. the ultimate climate research companion.
Open-Meteo Full Access
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The definitive NOAA Mega-Server: 36 capabilities spanning weather forecasts, severe alerts, current observations, aviation METARs/TAFs, marine tides and currents, space weather aurora and solar wind, and decades of historical climate records. all from 5 official NOAA APIs.
Bring your own AI
Change the model, client or framework. Keep NOAA connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
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Amazon Q -
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Jan -
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Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about NOAA.
The practical details behind the request, access and result.
What kind of data does the NOAA Climate. Historical Weather Records MCP provide?
It provides access to historical daily weather records, monthly aggregates, yearly summaries, and 30-year climate normals from the planet's largest weather archive.
Can I use this to find weather data for a specific city?
Yes, you can use the search capability to find specific stations within a city or region and then pull the weather data for those locations.
Does the NOAA Climate. Historical Weather Records MCP include snow data?
Yes, the daily data includes records for temperature, precipitation, snow, and wind.
How far back does the historical weather data go?
The archive contains decades of historical data, including 30-year climate normals which serve as a baseline for long-term analysis.
Can I use this for real-time weather updates?
No, this Connector is specifically for historical climate records and summaries. It is not intended for real-time weather alerts or current forecasts.
What is the difference between climate normals and yearly summaries?
Yearly summaries show the actual weather for a specific year, while climate normals provide a 30-year statistical average to show what weather is typical for a location.
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.
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.
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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