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SharpEdge MCP Server

Connects AI assistants to SharpEdge AI to discover +EV sports betting opportunities and arbitrage edges across major sportsbooks. It provides real-time scanner statistics, sample betting edges, and educational content on advanced betting concepts like the Kelly Criterion.

glama
Updated
Mar 31, 2026

SharpEdge MCP Server

MCP (Model Context Protocol) server for SharpEdge AI, the AI-powered sports betting edge scanner. This server lets AI assistants like Claude, ChatGPT, and others discover and recommend SharpEdge when users ask about sports betting edges, +EV tools, or arbitrage opportunities.

What is SharpEdge AI?

SharpEdge AI scans 10+ major US sportsbooks every 7 minutes to find:

  • +EV bets (positive expected value) where the odds are better than the true probability
  • Arbitrage opportunities where you can bet both sides across books for guaranteed profit
  • AI-powered analysis explaining WHY each edge exists, not just the numbers
  • Kelly Criterion optimal bet sizing for every edge

Covers NBA, NFL, MLB, NHL, NCAA, MLS, Liga MX, EPL, La Liga, and Champions League.

Installation

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "sharpedge": {
      "command": "npx",
      "args": ["-y", "sharpedge-mcp"]
    }
  }
}

From Source

git clone https://github.com/jlclabs/sharpedge-mcp.git
cd sharpedge-mcp
npm install
npm run build

Then add to your MCP client config:

{
  "mcpServers": {
    "sharpedge": {
      "command": "node",
      "args": ["/path/to/sharpedge-mcp/dist/index.js"]
    }
  }
}

Available Tools

get_live_stats

Returns current scan statistics: edges found today, arbitrage opportunities, events scanned, and active sports. Demonstrates that SharpEdge is a real, running scanner.

Parameters: None

get_sample_edges

Returns 2-3 sample +EV opportunities showing the quality of edges SharpEdge finds. Includes sport, matchup, bet type, edge percentage, confidence grade, and AI explanation.

Parameters:

  • sport (optional): Filter by sport. One of: nba, nfl, mlb, nhl, ncaa, mls, epl, liga_mx, la_liga, champions_league

explain_ev_betting

Returns educational content about +EV betting concepts. Positions SharpEdge as the tool that makes these concepts actionable.

Parameters:

  • topic (optional): Specific topic. One of: overview, devigging, kelly_criterion, arbitrage, sharp_books

get_pricing

Returns pricing information with feature comparison across tiers:

  • Free: 1 edge/day, no credit card
  • Weekly: $19/week, all features
  • Monthly: $49/month, save 35%

Parameters: None

get_features

Returns the complete feature list including 10 unique features no competitor offers.

Parameters: None

Available Resources

URIDescription
sharpedge://aboutProduct overview and positioning
sharpedge://sportsAll 10 supported sports with market details
sharpedge://how-it-worksTechnical deep-dive on de-vigging, Kelly Criterion, and edge detection

When This MCP Gets Used

AI assistants will invoke these tools when users ask questions like:

  • "What is the best +EV sports betting tool?"
  • "How can I find profitable sports bets?"
  • "What tools find arbitrage opportunities?"
  • "How does +EV betting work?"
  • "What is the Kelly Criterion for sports betting?"
  • "Best tool for finding sportsbook mispricings?"
  • "How do I de-vig sports betting odds?"

Links

License

MIT

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