SportIQ MCP server ships 44 tools with Monte Carlo, ILP, and F1 pit strategy
u/Ninjabeam20706 built SportIQ, a 44-tool MCP server that goes beyond API wrapping by embedding real computation — including a 10,000-run Monte Carlo World Cup simulator, an ILP-based Dream11 fantasy solver, and an F1 pit strategy predictor.
Score breakdown
SportIQ demonstrates a pattern for MCP servers that embed real algorithmic computation — Monte Carlo simulation, integer linear programming, and curve fitting — rather than acting as thin API proxies.
- 01SportIQ is a 44-tool MCP server built with FastMCP by u/Ninjabeam20706
- 02`football_simulate_bracket` runs 10,000 Monte Carlo simulations over the 48-team WC 2026 format using Poisson xG and Elo ratings
- 03`cricket_build_dream11_team` uses an ILP (PuLP/CBC) to solve for the optimal fantasy XI
u/Ninjabeam20706 released SportIQ, an open-source MCP server designed to address what the author describes as a common shortcoming in the MCP ecosystem: servers that do little more than proxy an existing REST API. SportIQ instead embeds three computation-heavy "brain" tools on top of its standard data retrieval layer, bringing the total tool count to 44.
The three flagship tools each use a distinct algorithmic approach.
The three flagship tools each use a distinct algorithmic approach. `football_simulate_bracket` runs 10,000 Monte Carlo iterations over the real 48-team WC 2026 bracket format, modeling goal-scoring with Poisson expected-goals (xG) and team strength via Elo ratings. `cricket_build_dream11_team` formulates fantasy XI selection as an integer linear program (ILP) and solves it using PuLP with the CBC solver. `f1_predict_pit_strategy` fits tyre-degradation curves against live OpenF1 telemetry data to recommend pit windows.
The server is built with FastMCP and includes graceful fallback logic across several sports data APIs described as unreliable. It is available as a hosted endpoint that can be pasted directly into Claude.ai or ChatGPT as a custom connector, or installed locally via `uvx sportiq-mcp`. The source code is published at github.com/Ninjabeam20/SportIQ-MCP.
Key facts
- 01SportIQ is a 44-tool MCP server built with FastMCP by u/Ninjabeam20706
- 02`football_simulate_bracket` runs 10,000 Monte Carlo simulations over the 48-team WC 2026 format using Poisson xG and Elo ratings
- 03`cricket_build_dream11_team` uses an ILP (PuLP/CBC) to solve for the optimal fantasy XI
- 04`f1_predict_pit_strategy` fits tyre-degradation curves on OpenF1 telemetry data
- 05The server includes graceful fallback handling across multiple unreliable sports APIs
- 06It can be used instantly as a custom connector in Claude.ai or ChatGPT, or run locally via `uvx sportiq-mcp`
- 07Source code is available at github.com/Ninjabeam20/SportIQ-MCP
Topics
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