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Connect Open Meteo Historical Weather to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Pull decades of global weather data into your AI client.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Open-Meteo.

  1. 01

    Get historical daily

    This capability pulls daily weather aggregates for a specific location. It provides max and min temperatures, precipitation totals, sunshine duration, and wind patterns.

  2. 02

    Get historical weather

    This capability retrieves historical weather data for any date range between 1940 and today. You provide the latitude, longitude, and date range to get hourly or daily details.

  3. 03

    Get historical temperature

    This capability focuses on temperature-specific data for climate analysis. It returns hourly temperature, apparent temperature, and dewpoint values.

Real work

What teams actually run

01

Historical Event Verification

Ask your agent for the exact weather conditions during a specific historical date or location.

02

Climate Change Modeling

Use temperature trends to analyze how specific regions have warmed over several decades.

03

Risk Assessment

Retrieve historical precipitation and wind data to evaluate environmental risks in specific areas.

04

Agricultural Planning

Analyze past sunshine duration and rainfall to understand growing season patterns.

Automate a task

Put Open-Meteo to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Open-Meteo works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Open-Meteo to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

858ms average. Fast in production.

Open-Meteo is checked daily against the live service.

Daily averagePeak 1054ms
Oct 3Today
Fastest day
698ms
Slowest day
1054ms
14-day trend
Slowing+33%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Open-Meteo, so you can see the experience inside your AI.

It does not authenticate your account with Open-Meteo. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Open-Meteo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Open-Meteo capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "open-meteo-historical-weather-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_PNLQiWEYz3EJHY4nf6BCyFT3IzeCerZFM2gbQaQt/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Open-Meteo in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Open-Meteo owners hand off.

This MCP is designed for professionals who need to feed historical meteorological data into AI-driven analytical workflows.

  • 01

    Climate Researchers

    They hand off requests for long-term temperature and precipitation trends to their agent.

  • 02

    Agricultural Analysts

    They use the capability to check historical weather patterns for crop planning and yield analysis.

  • 03

    Insurance Underwriters

    They task their agent with retrieving historical storm and precipitation data for risk assessment.

  • 04

    Data Scientists

    They pull time-series weather data to build environmental models.

FAQ

Questions Open-Meteo owners ask.

  • 01

    How far back does the weather data go?

    The data includes continuous records from 1940 to the present day.

  • 02

    What kind of weather variables can I get?

    You can get temperature, humidity, precipitation, snowfall, weather codes, wind, sunshine duration, and dewpoint.

  • 03

    Do I need to provide coordinates?

    Yes, you provide latitude and longitude to specify the location for the data request.

  • 04

    Can I get hourly data?

    Yes, the capability provides hourly data for temperature, humidity, precipitation, and wind.

  • 05

    Which AI clients can use this MCP?

    Any MCP-compatible client such as Claude, Cursor, Windsurf, or VS Code can use this connector.

  • 06

    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.

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