- STATION DATA
- CLIMATE RECORDS
- DATA ANALYSIS
- HUMAN REVIEW
Short answer
How can I get historical weather data using my AI?
Your agent uses the NCEI archive to locate weather stations and pull specific climate measurements for a given time and place. You'll get precise historical observations directly in your chat. Here is what you can do with the data.
The outcomes
What you get from this task
The AI handles the heavy lifting of searching the NOAA archives so you don't have to.
STATION DATA
Precise station locations
The agent identifies the exact weather stations covering your target area. You get the specific station IDs needed for deep queries.
CLIMATE RECORDS
Historical measurements
Your agent pulls specific climate data points like temperature or precipitation. These are direct pulls from the NCEI archive.
DATA ANALYSIS
Instant summaries
The AI processes the raw measurements into readable formats. You can ask it to compare values or find extremes.
HUMAN REVIEW
Verification required
You must review the specific station IDs and time ranges. The AI pulls what you ask for, so accuracy depends on your initial prompt.
The workflow
What your AI does when you ask for weather data.
The agent moves from broad location searches to specific data extraction.
Locate stations
The agent scans the NOAA archive to find weather stations in your requested area.
list_stationsFetch measurements
Once a station is identified, the agent pulls the specific climate data for your timeframe.
search_dataFormat results
The agent organizes the raw climate observations into a clean, readable response.
search_dataRefine search
If the data is too broad, the agent uses the station list to narrow down the search area.
list_stationssearch_data
Try it
Copy these to start.
Use these prompts to trigger the first data pull.
Starting points
Replace the bracketed locations and dates with your actual targets.
NOAA NCEI Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_MEucgnUFNmRS1x1NTzvmjMerfCGpaj5d0pcryzs5/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — NOAA NCEI capabilities are ready to use.
{
"mcpServers": {
"ncei-climate-data-online-noaa-archive-mcp": {
"url": "https://edge.vinkius.com/vk_preview_MEucgnUFNmRS1x1NTzvmjMerfCGpaj5d0pcryzs5/mcp"
}
}
}Find weather stations near Chicago, IL.
Get the precipitation levels for station ID 72786 for January 2022.
What were the average temperatures in Seattle during the summer of 2015?
List all available weather stations in Miami, Florida.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect NCEI Climate Data Online once, then ask.
One click connects this MCP to your agent. Your credentials stay encrypted, and you can start querying the NOAA archive immediately.
Connect NCEI Climate Data Online to your AIFAQ
How this task behaves
- 01
Can the AI download CSV files of the weather data?
No. The AI pulls the data into your chat interface, but it cannot generate or export downloadable files.
- 02
Can I ask for weather forecasts?
No. This connector only accesses historical observations from the NCEI archive, not future predictions.
- 03
Does the AI pick the best station for me?
The AI will suggest stations based on your location, but you should confirm the station ID to ensure you get the exact data you need.
- 04
Can the AI change the data in the NOAA archive?
No. The agent has read-only access to the archive. It cannot modify or delete any historical records.
- 05
How specific can the time range be?
The specificity depends on the available records in the NCEI archive, but you can request data down to the day or month.
More questions about NCEI Climate Data Online? The Connector page answers them. See everything the NCEI Climate Data Online Connector can do
Connect NOAA NCEI to Claude, Cursor, ChatGPT & more
