MCP server

groundhog.markets Official

markets.groundhog/weather

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

groundhog.markets: free weather forecasts in one call, plus Kalshi and Polymarket market rules.

Working at last checkVerified publisher: groundhog.marketsAbout 1,980 tokens per request once connected8 tools

Website

https://groundhog.markets/mcp

At a glance

Type: MCP server
Publisher: groundhog.markets (verified by the MCP Registry)
Status: Working at last check
Tools: 8
Token cost: About 1,980 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

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 weather https://groundhog.markets/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.weather]
url = "https://groundhog.markets/mcp"

Gemini CLI

{"mcpServers":{"weather":{"httpUrl":"https://groundhog.markets/mcp"}}}

Cursor

{"mcpServers":{"weather":{"url":"https://groundhog.markets/mcp"}}}

VS Code

{"servers":{"weather":{"type":"http","url":"https://groundhog.markets/mcp"}}}

Antigravity

agy mcp add weather https://groundhog.markets/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":"weather","server_url":"https://groundhog.markets/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"weather","server_url":"https://groundhog.markets/mcp"}

Tools

fetch ~83 tokens
The 7-day forecast of a place id from search: {id, title, text, url, metadata}. Keep the credits and link the url when you repeat numbers.
forecast ~670 tokens
Daily high/low for any place from every free forecast: median, spread, rain, current obs and active alerts, with credits and the page URL. line ≈321 tok, week ≈566, table ≈1,567, series ≈1,564. Keep the credits and link the page when you repeat numbers. size=runs: one place, each source's newest run
history ~540 tokens
As-issued history for backtests (no look-ahead): kind=daily (every source's daily hi/lo/rain per run at a place), nbm (NBM text columns: TXN, XND, P12, Q12; view=day = the books' day view) or obs (settlement truth: CLI, routine-METAR max/min). from/to (<= 366 days, 1 unit per 31 days); run=ISO | lea
markets ~334 tokens
Weather markets in a place (Kalshi, Polymarket high/low/rain): settlement station and rule, the number so far under that rule, our value and the official result once settled, forecast daily max/min at the station. No prices. Needs place or family. line ≈520 tok, table ≈1,757; every city ≈36,291. Wit
places ~84 tokens
Find a place slug by name, City, ST, airport code or lat,lon; says full blend or grid only.
receipts ~138 tokens
How often our settle value matched the venue's result, with every miss. No prices.
search ~81 tokens
Search places by name, City, ST, airport code or lat,lon. Returns {results: [{id, title, url, text}]}; pass an id to fetch.
sources ~50 tokens
Open sources groundhog uses: licence, latest run, age, status.

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