MCPs › Dev tools › Meteomatics
The Meteomatics MCP (Model Context Protocol) server allows AI agents to securely access Meteomatics weather data tools. MCP is an open standard that lets AI applications connect to external tools and data sources. With the Meteomatics MCP, agents can request weather data directly from the Meteomatics API through a secure /mcp endpoint. The MCP server manages authentication using OAuth (client registration, authorization code + PKCE, and refresh tokens). Once connected, the AI agent can access data, models, parameters, time ranges that are available to your Meteomatics API account.
Install Meteomatics
For anyone using Meteomatics — no Lulu account needednpx -y @smithery/cli@latest install meteomatics/meteomatics --client claude
9 field-tested tactics as a designed playbook plus skills your coding agent can run. Free.
Get the Kit →FAQ
Meteomatics installs from source — follow the repository README.
26 out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
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This is for the person who owns Meteomatics — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
Copies a ready prompt: your coding agent installs the lulu-ads SDK, wires the slot, and applies the widget design guide.
or set up manually at getlulu.dev/publishers
Verify ownership, edit the page, add your badge.
Managed hosting with monetization built in — waitlist.