MCP server exposing 10 tools for kalshi.
This URL is a JSON-RPC 2.0 endpoint over HTTP. Issue POST requests with a JSON-RPC body. Browsers and search crawlers land here on GET.
POST https://gateway.pipeworx.io/kalshi/mcp
Content-Type: application/json
{"jsonrpc":"2.0","id":1,"method":"tools/list"}kalshi_markets — List/search Kalshi markets. Optional filters: status (open|closed|settled), event_ticker (group by event), series_ticker (group by series like KXFED for Fed rate). Returns ticker, title, yes_ask/no_ask (in cents 1–99), volume, open_interest. Use this to discover markets; use kalshi_market for full detail.kalshi_market — AUTHORITATIVE detail for one Kalshi market by ticker (e.g. "KXFED-26OCT-T3.50"). Returns the rules text (so you know exactly what the market settles on — critical before quoting odds), yes_ask + no_ask prices in cents, last_price, volume, open_interest, expiration date, settlement criteria. Use after kalshi_events / kalshi_event to drill into a specific market, or when you already have a Kalshi ticker. For depth-of-book use kalshi_orderbook.kalshi_events — List/browse Kalshi events (event = a question with one-or-more child markets, e.g. "Fed funds rate after Oct 2026 meeting?" with 11 markets, one per rate bucket). Filter by status (open / settled), series_ticker (KXFED, KXBTC, KXCPI, etc.), or category. Use this as a discovery tool — to find what events Kalshi has open for a given topic family. For a specific event's child markets see kalshi_event; for one specific market see kalshi_market.kalshi_event — AUTHORITATIVE odds from Kalshi — the only CFTC-regulated US prediction-market exchange (US persons CAN legally trade here, unlike Polymarket). Returns one event with ALL its child markets nested: event title + each market's ticker, subtitle, yes_ask price, volume. Use when you need the full partition for an outright bet ("Fed funds in June 2026: each rate level is one market"). Pass include_orderbook=true to fetch live top-of-book for each market (slower but populates yes_bid/yes_ask/no_bid/no_ask + implied_yes_prob — required for most macro events since the nested response leaves prices null on the public unauth API). For cross-venue spreads vs Polymarket, see polymarket_kalshi_spread.kalshi_series — List Kalshi series (a series groups related events over time — e.g. "KXFED" series has one event per FOMC meeting). Useful to find the canonical handle for recurring questions.kalshi_orderbook — Current YES/NO orderbook (bids + asks with size, in cents) for a market ticker. Use to see live liquidity depth before judging whether an edge is tradable. Returns sorted price/quantity levels.kalshi_trades — Recent executed trades for a market ticker. Returns most-recent N trades with price (cents), size, side, timestamp. Useful for sanity-checking what the market is actually paying vs the resting orderbook.kalshi_price_history — Historical price/probability time-series (candlesticks) for a Kalshi market — how the YES odds moved over time. Pass a market ticker (e.g. "KXFEDDECISION-28JAN-H26"). Returns OHLC candles: YES price (open/high/low/close/mean as probability 0-1), best bid/ask, volume, and open interest per interval. Use for "how has this market moved", trend/momentum, or charting a prediction over time. The Kalshi analogue of polymarket_price_history. Pick interval "1h" or "1d" (default) and lookback_days.kalshi_exchange_status — Exchange-level status: is the trading floor open, are deposits/withdrawals enabled, any scheduled maintenance. Cheap check before a batch script.kalshi_macro — Friendly-name shortcut for the most-asked Kalshi macro series: "Fed" (FOMC rate buckets), "BTC" (Bitcoin price ranges), "ETH" (Ethereum), "CPI" (monthly inflation), "GDP" (quarterly growth), "SP500" (S&P 500 EOY close), "Recession" (NBER recession calls). Returns the soonest-expiring open event for that series with all child markets + implied probabilities, so agents can ask about macro odds without knowing Kalshi's ticker scheme.Code samples (curl / TypeScript / one-click client install), schemas, and the live playground are on the pack page:
https://pipeworx.io/packs/kalshi/
Pipeworx is an open MCP gateway connecting AI agents to live data. pipeworx.io