Machina World Cup Intelligence
World Cup 2026 match, team, player and market context from Machina Sports, the sports AI platform.
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Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"world-cup-intelligence": {
"url": "https://worldcup-mcp.org.machina.gg/sse"
}
}
}Remote-Endpunkte
https://worldcup-mcp.org.machina.gg/ssesseWas es kann
Tool-Inventar
Tools (16)
🟢worldcup_health(include_connectors)
Whoami/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.
Eingabe-Schema
{
"type": "object",
"properties": {
"include_connectors": {
"default": false,
"title": "Include Connectors",
"type": "boolean"
}
},
"title": "worldcup_healthArguments"
}🟢worldcup_get_schedule(team, opponent, date_from, date_to, status, ...)
Tournament 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).
Eingabe-Schema
{
"type": "object",
"properties": {
"team": {
"default": "",
"title": "Team",
"type": "string"
},
"opponent": {
"default": "",
"title": "Opponent",
"type": "string"
},
"date_from": {
"default": "",
"title": "Date From",
"type": "string"
},
"date_to": {
"default": "",
"title": "Date To",
"type": "string"
},
"status": {
"default": "",
"title": "Status",
"type": "string"
},
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
}
},
"title": "worldcup_get_scheduleArguments"
}🟢worldcup_resolve(id)
Resolve 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".
Eingabe-Schema
{
"type": "object",
"properties": {
"id": {
"title": "Id",
"type": "string"
}
},
"required": [
"id"
],
"title": "worldcup_resolveArguments"
}🟢worldcup_get_event_context(event, event_urn, team, opponent, date, ...)
Enriched 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.
Eingabe-Schema
{
"type": "object",
"properties": {
"event": {
"default": "",
"title": "Event",
"type": "string"
},
"event_urn": {
"default": "",
"title": "Event Urn",
"type": "string"
},
"team": {
"default": "",
"title": "Team",
"type": "string"
},
"opponent": {
"default": "",
"title": "Opponent",
"type": "string"
},
"date": {
"default": "",
"title": "Date",
"type": "string"
},
"provider_event_id": {
"default": "",
"title": "Provider Event Id",
"type": "string"
},
"include_prematch_research": {
"default": false,
"title": "Include Prematch Research",
"type": "boolean"
},
"include_social_pulse": {
"default": false,
"title": "Include Social Pulse",
"type": "boolean"
}
},
"title": "worldcup_get_event_contextArguments"
}🟢worldcup_search_markets(query, team, source, status, limit, ...)
Search 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.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"default": "",
"title": "Query",
"type": "string"
},
"team": {
"default": "",
"title": "Team",
"type": "string"
},
"source": {
"default": "",
"title": "Source",
"type": "string"
},
"status": {
"default": "",
"title": "Status",
"type": "string"
},
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
},
"force_live": {
"default": false,
"title": "Force Live",
"type": "boolean"
}
},
"title": "worldcup_search_marketsArguments"
}🟢worldcup_get_market_state(market_id, include_book, include_history, include_trades, history_hours, ...)
Live 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").
Eingabe-Schema
{
"type": "object",
"properties": {
"market_id": {
"title": "Market Id",
"type": "string"
},
"include_book": {
"default": true,
"title": "Include Book",
"type": "boolean"
},
"include_history": {
"default": false,
"title": "Include History",
"type": "boolean"
},
"include_trades": {
"default": false,
"title": "Include Trades",
"type": "boolean"
},
"history_hours": {
"default": 24,
"title": "History Hours",
"type": "integer"
},
"history_interval": {
"default": "",
"title": "History Interval",
"type": "string"
}
},
"required": [
"market_id"
],
"title": "worldcup_get_market_stateArguments"
}🟢worldcup_get_match_forecast(event_urn, include_reasoning, min_gap_bps)
Dixon-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).
Eingabe-Schema
{
"type": "object",
"properties": {
"event_urn": {
"title": "Event Urn",
"type": "string"
},
"include_reasoning": {
"default": false,
"title": "Include Reasoning",
"type": "boolean"
},
"min_gap_bps": {
"default": 0,
"title": "Min Gap Bps",
"type": "integer"
}
},
"required": [
"event_urn"
],
"title": "worldcup_get_match_forecastArguments"
}🟢worldcup_backtest_forecasts(league, season)
Historical 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.
Eingabe-Schema
{
"type": "object",
"properties": {
"league": {
"default": "",
"title": "League",
"type": "string"
},
"season": {
"default": "",
"title": "Season",
"type": "string"
}
},
"title": "worldcup_backtest_forecastsArguments"
}🟢worldcup_explain_market_move(market_id, window_hours, min_move_bps, include_reasoning)
Grounded 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.
Eingabe-Schema
{
"type": "object",
"properties": {
"market_id": {
"title": "Market Id",
"type": "string"
},
"window_hours": {
"default": 24,
"title": "Window Hours",
"type": "integer"
},
"min_move_bps": {
"default": 0,
"title": "Min Move Bps",
"type": "integer"
},
"include_reasoning": {
"default": false,
"title": "Include Reasoning",
"type": "boolean"
}
},
"required": [
"market_id"
],
"title": "worldcup_explain_market_moveArguments"
}🟢worldcup_find_market_edges(min_edge_bps, limit, include_reasoning, status)
Scan 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").
Eingabe-Schema
{
"type": "object",
"properties": {
"min_edge_bps": {
"default": 200,
"title": "Min Edge Bps",
"type": "integer"
},
"limit": {
"default": 10,
"title": "Limit",
"type": "integer"
},
"include_reasoning": {
"default": false,
"title": "Include Reasoning",
"type": "boolean"
},
"status": {
"default": "",
"title": "Status",
"type": "string"
}
},
"title": "worldcup_find_market_edgesArguments"
}🟢worldcup_get_signal(event, event_urn, team, opponent, date, ...)
Per-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.
Eingabe-Schema
{
"type": "object",
"properties": {
"event": {
"default": "",
"title": "Event",
"type": "string"
},
"event_urn": {
"default": "",
"title": "Event Urn",
"type": "string"
},
"team": {
"default": "",
"title": "Team",
"type": "string"
},
"opponent": {
"default": "",
"title": "Opponent",
"type": "string"
},
"date": {
"default": "",
"title": "Date",
"type": "string"
},
"bankroll": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": "",
"title": "Bankroll"
},
"kelly_fraction": {
"default": 0.25,
"title": "Kelly Fraction",
"type": "number"
},
"min_edge_bps": {
"default": 200,
"title": "Min Edge Bps",
"type": "integer"
},
"fee_bps": {
"default": 0,
"title": "Fee Bps",
"type": "integer"
},
"include_reasoning": {
"default": false,
"title": "Include Reasoning",
"type": "boolean"
}
},
"title": "worldcup_get_signalArguments"
}🟢worldcup_market_watch(force_regen)
Tournament-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.
Eingabe-Schema
{
"type": "object",
"properties": {
"force_regen": {
"default": false,
"title": "Force Regen",
"type": "boolean"
}
},
"title": "worldcup_market_watchArguments"
}🟢worldcup_fan_pulse(event, event_urn, team, opponent, date, ...)
Social/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.
Eingabe-Schema
{
"type": "object",
"properties": {
"event": {
"default": "",
"title": "Event",
"type": "string"
},
"event_urn": {
"default": "",
"title": "Event Urn",
"type": "string"
},
"team": {
"default": "",
"title": "Team",
"type": "string"
},
"opponent": {
"default": "",
"title": "Opponent",
"type": "string"
},
"date": {
"default": "",
"title": "Date",
"type": "string"
},
"query": {
"default": "",
"title": "Query",
"type": "string"
},
"lookback_hours": {
"default": 0,
"title": "Lookback Hours",
"type": "integer"
},
"force_regen": {
"default": false,
"title": "Force Regen",
"type": "boolean"
}
},
"title": "worldcup_fan_pulseArguments"
}🟢worldcup_match_preview(event, event_urn, team, opponent, date, ...)
Grounded 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.
Eingabe-Schema
{
"type": "object",
"properties": {
"event": {
"default": "",
"title": "Event",
"type": "string"
},
"event_urn": {
"default": "",
"title": "Event Urn",
"type": "string"
},
"team": {
"default": "",
"title": "Team",
"type": "string"
},
"opponent": {
"default": "",
"title": "Opponent",
"type": "string"
},
"date": {
"default": "",
"title": "Date",
"type": "string"
},
"force_regen": {
"default": false,
"title": "Force Regen",
"type": "boolean"
}
},
"title": "worldcup_match_previewArguments"
}🟢worldcup_match_recap(event, event_urn, team, opponent, date, ...)
Post-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.
Eingabe-Schema
{
"type": "object",
"properties": {
"event": {
"default": "",
"title": "Event",
"type": "string"
},
"event_urn": {
"default": "",
"title": "Event Urn",
"type": "string"
},
"team": {
"default": "",
"title": "Team",
"type": "string"
},
"opponent": {
"default": "",
"title": "Opponent",
"type": "string"
},
"date": {
"default": "",
"title": "Date",
"type": "string"
},
"force_regen": {
"default": false,
"title": "Force Regen",
"type": "boolean"
}
},
"title": "worldcup_match_recapArguments"
}🟢worldcup_player_spotlight(player, team, player_urn, force_regen)
Grounded 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.
Eingabe-Schema
{
"type": "object",
"properties": {
"player": {
"default": "",
"title": "Player",
"type": "string"
},
"team": {
"default": "",
"title": "Team",
"type": "string"
},
"player_urn": {
"default": "",
"title": "Player Urn",
"type": "string"
},
"force_regen": {
"default": false,
"title": "Force Regen",
"type": "boolean"
}
},
"title": "worldcup_player_spotlightArguments"
}Community
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