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seang1121/sports-betting-mcp

by Various

The first MCP server for sports betting — 9 tools, live odds, AI picks, 59.6% win rate across 1,353+ picks

S

MCP

seang1121/sports-betting-mcp

Added 1 June 2026

#ai-agents #claude #mcp #mcp-server #model-context-protocol #odds #picks #python

Overview

An MCP server for sports betting offering 9 tools for live odds and AI-generated picks. It reports a 59.6% win rate across 1,353 picks. The server is implemented in Python and can be integrated into MCP-compatible applications.

Best for

Best for
Developers building MCP-integrated sports betting applications or bots.

Use cases

  • Retrieving live sports betting odds
  • Generating AI-based betting picks
  • Integrating betting data into MCP workflows

Notes

An MCP server for sports betting offering 9 tools for live odds and AI-generated picks. It reports a 59.6% win rate across 1,353 picks. The server is implemented in Python and can be integrated into MCP-compatible applications.

1 stars on GitHub. Last updated 2026-04-08. Licensed MIT.

Use cases

  • Retrieving live sports betting odds
  • Generating AI-based betting picks
  • Integrating betting data into MCP workflows

Pros

  • First MCP server dedicated to sports betting with 9 distinct tools
  • Claims a high win rate (59.6%) over a large sample of picks
  • Open-source Python implementation for customization

Cons

  • Low GitHub stars (1) indicating limited adoption or testing
  • Win rate claim is unverified and may not be reproducible
  • Requires MCP-compatible client or framework to use

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • First MCP server dedicated to sports betting with 9 distinct tools
  • Claims a high win rate (59.6%) over a large sample of picks
  • Open-source Python implementation for customization

Cons

  • Low GitHub stars (1) indicating limited adoption or testing
  • Win rate claim is unverified and may not be reproducible
  • Requires MCP-compatible client or framework to use