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Sportiq Mcp

Created By
Ninjabeam2013 days ago
MCP server with 44 tools across FIFA World Cup 2026 football, Formula 1, and IPL cricket - Monte-Carlo bracket sims, F1 pit-strategy, and a Dream11 IPL solver.
Overview

SportIQ MCP — Turn any AI into your personal sports analyst, tipster & fantasy strategist 🏆⚽️🏎️ 🏏

What if you could just ask your AI: "Who's winning the 2026 World Cup, and where's the value in tonight's odds?" — and get a real, data-backed answer in seconds?

That's SportIQ. It plugs 44 live sports tools straight into Claude, ChatGPT, Cursor, or any MCP-compatible AI — covering FIFA World Cup 2026 football, Formula 1, and IPL cricket. No spreadsheets. No ten browser tabs. No paid stats subscription. Just plain-English questions → instant analysis.

😮 The part that surprises people

Stuff that used to take hours of research and a dozen websites now takes one sentence:

  • "Simulate the World Cup 2026 bracket 10,000 times — who actually lifts the trophy?"
  • "Find me the best value bets in this weekend's fixtures based on real bookmaker odds."
  • "Build me the optimal Dream11 team for tonight's IPL match under the credit cap."
  • "What's the smartest pit-stop strategy if it rains at the next Grand Prix?"
  • "Compare these two F1 drivers' race pace and tell me who's quicker."

Your AI calls SportIQ behind the scenes, pulls live data, runs the math, and hands you a clear answer. Gathering data, comparing odds, and modelling outcomes genuinely becomes that easy.

🔥 Three flagship intelligence engines

These aren't "fetch a stat" tools — they're real models:

  • football_simulate_bracket — Monte Carlo tournament simulation with a Poisson expected-goals match engine and Elo-seeded brackets. Full WC 2026 format (48 teams, 12 groups, top-2 + 8 best-thirds → R32 knockout). Get each nation's title probability, not a vibe.
  • 🏎️ f1_predict_pit_strategy — a tyre-degradation model running on live OpenF1 telemetry, with undercut-window detection and per-circuit pit-loss. Know when to box before the race does.
  • 🏏 cricket_build_dream11_team — a PuLP ILP optimizer that builds a mathematically optimal Dream11 XI under every credit, role, and team-count constraint. Fantasy edge, solved.

🎯 Everything you can do

Betting & value: live bookmaker odds, value-bet detection, accumulator/parlay builder, cross-sport bet slips. Predictions & sims: match predictors, group + knockout simulations, xG models, head-to-heads. Fantasy: Dream11 optimizer, captain picks, differential punts, player form & matchup analysis. Live & raw data: live scores, fixtures, standings, squads, pitch reports, lap times, weather, qualifying & race results.

👥 Who it's for

Sports bettors hunting an edge, fantasy (Dream11/FPL-style) players, F1 strategy nerds, data-driven fans, and developers building sports-AI apps. If you follow the World Cup, Formula 1, or the IPL — this turns your AI into a 24/7 analyst.

⚡ Install in 10 seconds

uvx sportiq-mcp

Zero config. No API keys needed for the simulation, prediction, and fantasy tools — they work offline out of the box. Optional keys unlock live scores and odds.

❓ FAQ

Can AI predict who wins the 2026 World Cup? Yes — football_simulate_bracket runs thousands of Monte Carlo simulations and returns each team's win probability.

Can it find value bets? Yes — it compares model-implied probabilities against live bookmaker odds to surface positive-expected-value bets across football, F1, and cricket.

Does it build Dream11 teams? Yes — an ILP solver returns a fully legal, points-optimized XI in one call.

Which AI tools does it work with? Any MCP client — Claude Desktop, Cursor, and the broader Model Context Protocol ecosystem.

Is it free? The package is free and open-source (MIT).


🔗 PyPI: sportiq-mcp · Official MCP Registry: io.github.Ninjabeam20/sportiq-mcp · GitHub: github.com/Ninjabeam20/SportIQ-MCP 👤 Built by Utkarsh Gupta (@Ninjabeam20)

SportIQ is an analytics and entertainment tool. It surfaces probabilities and value — not guarantees. Bet responsibly, and only where it's legal for you.

Server Config

{
  "mcpServers": {
    "sportiq": {
      "command": "uvx",
      "args": [
        "sportiq-mcp"
      ]
    }
  }
}
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