The finished World Cup 2026, kept online by Machina as an archive of fixtures, pre-match forecasts and match recaps.
LABSCO SUMMARY
Use it to write about the finished tournament with answers that cite their sources, or to study how a match model's forecasts held up against the results. Its six prediction-market tools, the fan-sentiment card and the match preview are not part of that fixed record, and Machina's current documentation describes them only in part.
Machina's World Cup 2026 server, published as a developer preview. It covers that tournament only. The tools Machina lists as archived answer from a fixed record: no new data is added and nothing is recalculated. Machina's guide says its market and model outputs are research only and do not recommend bets. The description of one tool, worldcup_get_signal, on the Tools tab, calls it a betting signal for one match, with a recommendation and a suggested stake.
A Machina API key, sent in the X-Api-Token header; a free key comes with 100 credits and needs no card. Each call costs 1 to 60 credits depending on its type, the health check is free, and every tool's description states its cost. Paid packs start at $50 for 5,000 credits, and credits never expire.
Paste a URL with a key — add the endpoint to your client
USE CASES
Read a match's context and the forecast Machina's model made before kickoff.
Get a source-cited recap of a match, or a card on one player.
See how the model's forecasts compared with the tournament's results.
Listed in project docs. Your client may show a different list.
worldcup_healthWhoami/smoke check — verifies your API key and the product surface. Cost: FREE (0 credits). Call this first to validate setup before spending credits. Example: worldcup_health()
Args: include_connectors: also report upstream connector reachability.
worldcup_get_scheduleTournament fixtures with their event_urn — the discovery primitive every per-fixture tool builds on. Cost: 1 credit (data). Example: worldcup_get_schedule(team="Brazil")
Args: team: filter by team name (e.g. "Brazil"). opponent: filter by opponent name. date_from: ISO date lower bound (YYYY-MM-DD). date_to: ISO date upper bound (YYYY-MM-DD). status: fixture status filter (e.g. "scheduled", "finished"). limit: max fixtures returned (default 20).
worldcup_resolveResolve ANY provider id or free-text name (team, player, fixture) to the canonical Machina entity + URN via the identity crosswalk. Cost: 1 credit (data). Example: worldcup_resolve(id="sr:competitor:4715")
Args: id: provider id (Sportradar/Opta/api-football/...) or a name like "Vinicius Jr" / "Brazil vs Morocco".
worldcup_get_event_contextEnriched single-fixture context: form, group standings slice, injuries, optional research extras. Cost: 1 credit (data). Example: worldcup_get_event_context(event="Brazil vs Morocco")
Args: event: natural fixture description ("Brazil vs Morocco") — or get event_urn from worldcup_get_schedule. event_urn: canonical fixture URN (preferred when known). team: team name (alternative to event). opponent: opponent name (with team). date: fixture date YYYY-MM-DD (disambiguates rematches). provider_event_id: a provider's raw event id (auto-resolved). include_prematch_research: add grounded pre-match research. include_social_pulse: add a social sentiment slice.
worldcup_search_marketsSearch Kalshi + Polymarket World Cup markets in one normalized shape. Cost: 3 credits (market). Example: worldcup_search_markets(team="Brazil")
Args: query: free-text market search. team: filter markets involving a team. source: "kalshi" or "polymarket" (default: both). status: market status filter (e.g. "open"). limit: max markets returned (default 20). force_live: bypass the cache and hit the venues live.
worldcup_get_market_stateLive state of ONE market: price, order-book depth, optional candles/trades history. Cost: 3 credits (market). Get market_id from worldcup_search_markets. Example: worldcup_get_market_state(market_id="KXWC26-BRA", include_history=True)
Args: market_id: the market id/ticker from worldcup_search_markets. include_book: include order-book depth (default true). include_history: include price history candles. include_trades: include recent trades. history_hours: history window in hours (default 24). history_interval: candle interval (e.g. "1h").
worldcup_get_match_forecastDixon-Coles model forecast for one fixture (1X2 probabilities, model-vs-market gaps). Cost: 12 credits (intelligence). Get event_urn from worldcup_get_schedule. Example: worldcup_get_match_forecast(event_urn="urn:machina:...:wor")
Args: event_urn: canonical fixture URN (required). include_reasoning: include the model's reasoning trace. min_gap_bps: only report model-vs-market gaps above this (bps).
worldcup_backtest_forecastsHistorical accuracy report of the model over played fixtures (calibration + CLV ledger). Cost: 12 credits (intelligence). Example: worldcup_backtest_forecasts()
Args: league: league/competition filter (default: World Cup). season: season filter.
worldcup_explain_market_moveGrounded explanation of WHY a market moved: price history + live research, source-cited. Cost: 12 credits (intelligence). Get market_id from worldcup_search_markets or worldcup_market_watch. Example: worldcup_explain_market_move(market_id="KXWC26-BRA")
Args: market_id: the market id/ticker to explain (required). window_hours: move window to analyze in hours (default 24). min_move_bps: ignore moves smaller than this (basis points). include_reasoning: include the reasoning trace.
worldcup_find_market_edgesScan open markets for model-vs-market gaps (informational edge candidates across the tournament). Cost: 18 credits (edge). Informational only — never betting advice. Example: worldcup_find_market_edges(min_edge_bps=300)
Args: min_edge_bps: minimum edge in basis points (default 200). limit: max candidates returned (default 10). include_reasoning: include per-candidate reasoning. status: market status filter (e.g. "open").
worldcup_get_signalPer-fixture betting signal: fuses the model forecast with the best market price into recommendation + edge% + EV + fractional-Kelly stake. Cost: 18 credits (edge). Informational decision support — never a guaranteed bet. Example: worldcup_get_signal(event="Brazil vs Morocco")
Args: event: natural fixture description ("Brazil vs Morocco") — or get event_urn from worldcup_get_schedule. event_urn: canonical fixture URN (preferred when known). team: team name (alternative to event). opponent: opponent name (with team). date: fixture date YYYY-MM-DD (disambiguates rematches). bankroll: optional bankroll for stake sizing. kelly_fraction: fraction of full Kelly (default 0.25). min_edge_bps: minimum edge in basis points to surface (default 200). fee_bps: market fee in basis points (default 0). include_reasoning: include the signal's reasoning trace.
worldcup_market_watchTournament-wide market-watch card: biggest market movers and informational edges across World Cup markets. Cost: 40 credits (skill card). ~20 min cache. Example: worldcup_market_watch()
Args: force_regen: bypass the ~20min cache and regenerate now.
worldcup_fan_pulseSocial/news fan-sentiment card (buzz, narratives, breaking news) via live X/web search. Tournament-wide by default, or scoped to a team or fixture. Cost: 40 credits (skill card). ~1h cache. Example: worldcup_fan_pulse(event="Brazil vs Morocco")
Args: event: natural fixture description ("Brazil vs Morocco") — or get event_urn from worldcup_get_schedule. event_urn: canonical fixture URN (preferred when known). team: scope the pulse to one team. opponent: opponent name (with team). date: fixture date YYYY-MM-DD (disambiguates rematches). query: free-text subject when no event/team is given. lookback_hours: search window in hours (0 = workflow default). force_regen: bypass the cache and regenerate now.
worldcup_match_previewGrounded match preview card: form, key men, group context, market snapshot — source-cited, ready to publish. Cost: 40 credits (skill card). Example: worldcup_match_preview(event="Brazil vs Morocco")
Args: event: natural fixture description ("Brazil vs Morocco") — or get event_urn from worldcup_get_schedule. event_urn: canonical fixture URN (preferred when known). team: team name (alternative to event). opponent: opponent name (with team). date: fixture date YYYY-MM-DD (disambiguates rematches). force_regen: bypass the cache and regenerate now.
worldcup_match_recapPost-match recap card, authored once the final whistle blows — result, narrative, market settlement. Cost: 40 credits (skill card). Example: worldcup_match_recap(event="Brazil vs Morocco")
Args: event: natural fixture description ("Brazil vs Morocco") — or get event_urn from worldcup_get_schedule. event_urn: canonical fixture URN (preferred when known). team: team name (alternative to event). opponent: opponent name (with team). date: fixture date YYYY-MM-DD (disambiguates rematches). force_regen: bypass the cache and regenerate now.
worldcup_player_spotlightGrounded player card: performance context + narrative, source- cited. Cost: 40 credits (skill card). Example: worldcup_player_spotlight(player="Vinicius Jr", team="Brazil")
Args: player: player name (e.g. "Vinicius Jr"). team: the player's national team (disambiguates homonyms). player_urn: canonical player URN (from worldcup_resolve). force_regen: bypass the cache and regenerate now.
BEFORE YOU INSTALL
16 tools named in the project's documentation.
INSTALLATION
Add the endpoint to your client.
https://worldcup-mcp.org.machina.gg/sseclaude mcp add --transport sse world-cup-intelligence \
https://worldcup-mcp.org.machina.gg/sse \
--header "X-Api-Token: <YOUR_API_TOKEN>"<YOUR_API_TOKEN> is your Machina API key. Any MCP client that speaks SSE and can send this header works the same way.
MCP servers
abaiii168
zafronix
holoduke
yeonupark