Open-Meteo Historical Weather Connector for AI agents.
3 live capabilities
Pull 84 years of global climate and weather history for any location.
Waiting for input…
Why people use Open-Meteo Historical Weather
Open-Meteo Historical Weather for Climate Research
This Connector lets your agent do the heavy lifting for you. Just tell it the location and the years you're interested in, and it pulls the data directly. You get a clean set of records ready for your analysis without the manual data entry.
What Vinkius changes
You get historical climate data in seconds instead of hours of manual searching.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Verifying weather during a historical event
A researcher needs to know the exact weather during a historical event.
- Real-world use case 02
Identifying regional warming trends
A developer wants to see if a region is getting hotter.
- Real-world use case 03
Analyzing flood precipitation levels
An analyst needs to know how much rain fell during a specific flood.
Complete set · 3capabilities
The complete Open-Meteo Historical Weather capability set.
These are the exact actions your AI can choose when you ask it to work with Open-Meteo Historical Weather.
01—03
3 capabilities in this set.
Part of 3 available through Open-Meteo Historical Weather.
- 01 Capability
Get historical weather
Get weather data for a specific date range using latitude and longitude. It's perfect for looking up conditions on specific historical dates.
- 02 Capability
Get historical daily
Pull daily aggregates like max/min temperatures and total precipitation. This capability is best for seeing broad trends over months or years.
- 03 Capability
Get historical temperature
Get detailed temperature data including apparent temperature and dewpoint. Use this for deep-dive climate analysis on heat and humidity.
Set up in minutes
One URL. Then ask Open-Meteo Historical Weather to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Open-Meteo Historical Weather 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_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/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 Open-Meteo Historical Weather, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Open-Meteo Historical Weather for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/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 Open-Meteo Historical Weather URL.
- Step 03
Save and start
Save the connection and enable Open-Meteo Historical Weather in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"open-meteo-historical-weather": {
"url": "https://edge.vinkius.com/vk_preview_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/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 Open-Meteo Historical Weather
Open Agent mode in chat and ask: "Using Open-Meteo Historical Weather, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"open-meteo-historical-weather": {
"url": "https://edge.vinkius.com/vk_preview_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/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 Open-Meteo Historical Weather
Ask Copilot: "Using Open-Meteo Historical Weather, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"open-meteo-historical-weather": {
"url": "https://edge.vinkius.com/vk_preview_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/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 Open-Meteo Historical Weather
Open Cascade and ask: "Using Open-Meteo Historical Weather, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"open-meteo-historical-weather": {
"url": "https://edge.vinkius.com/vk_preview_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/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 Open-Meteo Historical Weather
Ask Cline: "Using Open-Meteo Historical Weather, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add open-meteo-historical-weather --transport http "https://edge.vinkius.com/vk_preview_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/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 Open-Meteo Historical Weather
Ask Claude: "Using Open-Meteo Historical Weather, show me...". 3 tools are ready
Where the request belongs
Work Open-Meteo can move forward.
This is for researchers and analysts who need hard numbers on past weather patterns to predict future risks or model historical changes.
Climate Researcher
Pulling 50-year temperature trends to write a thesis on regional warming.
Agricultural Analyst
Checking 20 years of rainfall data to decide where to plant specific crops.
Insurance Underwriter
Evaluating historical flood levels to set premiums for high-risk zones.
Real Estate Developer
Analyzing long-term weather patterns to assess the viability of a new construction site.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsOpen-Meteo Full Access
The ultimate weather Mega-Server: 15 capabilities covering forecast, historical (84 years), marine, air quality, pollen, climate projections (to 2100), flood, geocoding, and elevation. all in one zero-auth integration.
Meteostat
Access historical weather data and climate statistics from thousands of weather stations and geographic points worldwide.
NOAA Climate — Historical Weather Records
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.
NCEI Climate Data Online (NOAA Archive)
Access historical weather and climate data from NOAA's National Centers for Environmental Information archive.
NCDC Climate Data Online
Access authoritative historical weather and climate data via NCDC. track datasets, stations, and climate records directly from your AI agent.
Open-Meteo
Get weather forecasts, historical data and air quality. no API key required, open-source weather data.
Bring your own AI
Change the model, client or framework. Keep Open-Meteo 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 -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Open-Meteo.
The practical details behind the request, access and result.
Can I get weather data from before 1940 with the Open-Meteo Historical Weather MCP?
No, this Connector provides continuous weather records starting from 1940 to the present day.
Does the Open-Meteo Historical Weather MCP cover every country?
Yes, it provides global coverage for any coordinate on Earth.
Can I use this for real-time weather updates?
No, this capability is strictly for historical data. You will need a different service for live forecasts or current alerts.
What kind of data does the Open-Meteo Historical Weather MCP provide?
It provides a range of data including temperature, precipitation, wind speed, snow depth, humidity, and sunshine duration.
How accurate is the historical data provided by the Open-Meteo Historical Weather MCP?
It provides consistent, long-term climate data based on 84 years of records, making it suitable for research and trend analysis.
Can I get daily summaries with the Open-Meteo Historical Weather MCP?
Yes, you can pull daily aggregates which include max and min temperatures, total precipitation, and sunshine duration.
How far back does the historical data go?
All the way to January 1, 1940. that's 84 years of continuous, hourly global weather data powered by ERA5 reanalysis from ECMWF.
One connection away
Give your agent a direct line to Open-Meteo.
Connect Open-Meteo once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available