MCP server
Meteostat
io.github.pipeworx-io/meteostat
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Meteostat MCP — historical weather from 11k+ stations (no auth)
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,039 tokens per request once connected45 tools
https://gateway.pipeworx.io/meteostat/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 45
- Token cost
- About 27,039 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http meteostat https://gateway.pipeworx.io/meteostat/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.meteostat] url = "https://gateway.pipeworx.io/meteostat/mcp"
Gemini CLI
{"mcpServers":{"meteostat":{"httpUrl":"https://gateway.pipeworx.io/meteostat/mcp"}}}
Cursor
{"mcpServers":{"meteostat":{"url":"https://gateway.pipeworx.io/meteostat/mcp"}}}
VS Code
{"servers":{"meteostat":{"type":"http","url":"https://gateway.pipeworx.io/meteostat/mcp"}}}
Antigravity
agy mcp add meteostat https://gateway.pipeworx.io/meteostat/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"meteostat","server_url":"https://gateway.pipeworx.io/meteostat/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"meteostat","server_url":"https://gateway.pipeworx.io/meteostat/mcp"}
Tools
find_stations~404 tokens
Find Meteostat weather station IDs by place name and/or geographic proximity — the lookup you need BEFORE get_daily_history / get_monthly_normals (which require a station_id). Search by name ("San Francisco", "Heathrow"), filter by country (ISO-2 like "US", "GB"), and/or rank by nearest to a lat/longet_daily_history~212 tokens
Daily historical weather for a Meteostat station between two dates. Returns date-keyed temperature (avg/min/max), precipitation, snow, wind, pressure, sun hours. Get a station_id from find_stations.get_monthly_normals~120 tokens
Monthly climate normals for a station — long-run averages of temperature, precipitation, and pressure by calendar month. Useful for "what's normal in May here" baselines.
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