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How to Use the Meteostat MCP in Claude Code

Pipe global historical weather and climate datasets directly into your terminal workflows using Claude Code.

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Claude Code

Connect Meteostat MCP to Claude Code

Create your Vinkius account to connect Meteostat to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Run headless climate analysis in Claude Code

The `point_daily` tool extracts historical daily weather records for any coordinate directly through your terminal interface. Claude Code pipes this data into standard UNIX utilities or redirects it to local CSV files. This terminal-first approach lets you build automated data pipelines. You can run cron jobs or shell scripts that trigger Claude Code to fetch updated climate records and update your backend databases.

Query weather stations from the command line

The `stations_meta` tool retrieves technical specifications for weather stations using WMO or ICAO codes. Claude Code combines this with `stations_nearby` to let you quickly audit regional sensor networks. You do not need a browser or an IDE to inspect weather infrastructure. Claude Code queries the MCP Server, formats the station metadata, and outputs clean terminal tables for quick review.

Retrieve high-frequency historical observations

The `stations_hourly` tool pulls up to 30 days of hourly observations per request for any station. Claude Code fetches these detailed metrics and formats them for immediate consumption by your local scripts. This is ideal for debugging data ingestion pipelines. Claude Code runs the query, inspects the payload structure, and writes the parsing logic right inside your terminal session.

Setup guide

Set up Meteostat MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see meteostat-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest Meteostat transactions." It will automatically discover and invoke the available Meteostat tools.

Terminal
claude mcp add --transport http meteostat-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Common questions about Meteostat MCP in Claude Code

Run the `claude mcp add` command with the transport flags and the server URL. Claude Code writes this configuration to your local JSON settings file.
Yes, you can direct Claude Code to output the weather payloads as raw JSON. You can then pipe those results into tools like jq or redirect them to local files.
The `stations_hourly` tool has a limit of 30 days per request. Claude Code can run multiple sequential commands to compile longer hourly datasets when needed.
The `point_normals` tool fetches 30-year climate averages using latitude and longitude. Claude Code executes this tool to compare current terminal reports with historical baselines.
Yes, the MCP Server runs in an ephemeral, zero-trust sandbox on Vinkius. Only the specific coordinates and station IDs you query are transmitted, keeping your local shell environment secure.

Start using the Meteostat MCP today

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