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groundhog.markets

by FastDrop

MCP Verified 3 hours ago Registry import free

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

groundhog.markets: free weather forecasts in one call, plus Kalshi and Polymarket market rules. Official MCP Registry: markets.groundhog/weather@1.2.0. Remote endpoint: https://groundhog.markets/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as markets.groundhog/weather and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 28 Oct 2026. Not supplied by the maker.

  • forecast

    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 t

  • places

    Find a place slug by name, City, ST, airport code or lat,lon; says full blend or grid only.

  • sources

    Open sources groundhog uses: licence, latest run, age, status.

  • markets

    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

  • receipts

    How often our settle value matched the venue's result, with every miss. No prices.

  • search

    Search places by name, City, ST, airport code or lat,lon. Returns {results: [{id, title, url, text}]}; pass an id to fetch.

  • fetch

    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.

  • history

    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 (set

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Matched on shared tags and the tools their MCP servers actually expose.

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