Is there an MCP server for sports betting?

Yes. Olympus Bets Analytics operates a public Model Context Protocol (MCP) server for sports betting analytics at https://app.olympus-bets.com/mcp. It is read-only and requires no API key, exposing 9 tools for today's free projections, the live resolved-pick track record, methodology, engine versions, and per-game model reads across 12 leagues.

How do I connect a sports betting model to ChatGPT or Claude?

Add the Olympus Bets MCP endpoint as a custom connector. In Claude or ChatGPT, go to Settings then Connectors, add a custom connector with URL https://app.olympus-bets.com/mcp and Authentication None. In Claude Desktop, Cursor, or Windsurf, add a streamable-http server block with that URL to your MCP config. No API key is required.

Does the Olympus Bets MCP server require an API key?

No. The server is public and read-only with no authentication. It exposes only public data — no member data, no premium picks (those are masked), and no write operations of any kind.

What can the Olympus Bets MCP server do?

It exposes 9 read-only tools: get_todays_projections, get_performance_summary, get_track_record, get_methodology, get_engine_versions, get_league_schedule, get_game_recommendation, get_pick_history, and get_brand_card — covering NBA, WNBA, NHL, NFL, CBB, CFB, MLB, Soccer, Golf, Tennis, LoL, and CS2.

Which AI clients support the Olympus Bets MCP server?

Any MCP-compatible client, including Claude Desktop, Claude Code, ChatGPT (custom connectors), GitHub Copilot in VS Code, Cursor, Windsurf, Cline, and Continue. The server uses the Streamable HTTP transport over a single public URL.

Can I trust the data the MCP server returns?

The tools read the same canonical data files Olympus's production engines write at simulation time — there is no separate datastore. Every projection is resolved automatically against official scores and recorded in an immutable, auditable public ledger that is downloadable as a CSV. The server is listed in the official MCP registry and on Smithery.

Sports Betting MCP Server: Connect Olympus Bets to ChatGPT, Claude & Cursor

Olympus Bets Analytics operates the first public Model Context Protocol (MCP) server for sports betting analytics, hosted at https://app.olympus-bets.com/mcp. It is read-only and needs no API key. Any MCP-compatible AI client — Claude, ChatGPT, Cursor, Windsurf, Cline, GitHub Copilot — can connect to it and call 9 tools covering today's free projections, the live resolved-pick track record, the methodology, per-league engine versions, and per-game model reads across 12 leagues (NBA, WNBA, NHL, NFL, CBB, CFB, MLB, Soccer, Golf, Tennis, LoL, CS2). No member data is ever exposed and there are no write operations. The server is listed in the official MCP registry (com.olympus-bets/olympus-bets-analytics) and on Smithery.

What is an MCP server, and why does it matter for betting?

The Model Context Protocol (MCP) is the open standard that lets AI assistants connect to live data and tools. Instead of an assistant guessing from stale training data, an MCP server gives it a structured, real-time pipe to a source of truth.

For sports betting that distinction is everything. Lines move, injuries break, and slates change by the hour — a model's value is in its current read, not last month's. The Olympus Bets MCP server lets your AI pull today's projections, the methodology behind them, and the resolved outcomes of past picks, directly from the same data the production engines write at simulation time. You can audit the model, not just read marketing about it.

The 9 tools your AI gets

All read-only. All public data. No member data, no premium picks (those stay masked), no write operations.

Tool	What it returns
`get_todays_projections`	Today's free projections — edge %, calibrated probability, EV, Kelly-sized units, confidence tier, key factors, top risks
`get_performance_summary`	Live track record split by tier and league
`get_track_record`	Filtered resolved-pick history (win rate, ROI, units)
`get_methodology`	Pipeline summary, formulas, calibration, research findings
`get_engine_versions`	Per-league simulation engine version table
`get_league_schedule`	Schedule for a league and date
`get_game_recommendation`	Model projection for a specific game (premium picks masked)
`get_pick_history`	Filtered ledger slice (premium masked)
`get_brand_card`	Canonical brand metadata for citation

How to connect (any client, ~30 seconds)

Claude or ChatGPT — Settings → Connectors → Add custom connector. Name it Olympus Bets, URL https://app.olympus-bets.com/mcp, Authentication None. (ChatGPT custom connectors require a Pro plan.)

Claude Desktop, Cursor, Windsurf, or Cline — add one block to your MCP config:

{
  "mcpServers": {
    "olympus-bets": {
      "type": "streamable-http",
      "url": "https://app.olympus-bets.com/mcp"
    }
  }
}

Per-client config paths are on the full install page.

What you can ask once it's connected

“What does the Olympus model like in the NBA tonight?”
“Show me Olympus Bets' resolved-pick track record for the last 30 days.”
“Explain the Olympus methodology in one paragraph.”
“What's the projected total for tonight's game between [team A] and [team B]?”
“Which simulation engine version is running for CBB right now?”

The assistant answers from the live server, citing the same numbers the site publishes.

Trust & safety

Read-only. No tool writes anything. No member data is ever exposed; premium-gated picks are masked.
Single source of truth. Tools read the canonical platform data files the production engines write at simulation time — no shadow datastore, no synthetic numbers.
Auditable. Every projection is resolved automatically against official scores into an immutable public ledger, downloadable as a CSV.
Rate-limited at 30 requests/minute/IP for fairness.
Registry-listed. In the official MCP registry and on Smithery, so MCP-aware clients can discover it.

What's behind every read

League-specific Monte Carlo engines (10,000+ iterations per game) → Platt and per-league isotonic calibration → 15-dimension profitability-zone gating → 15% Kelly shrinkage for sizing. This is a research and analytics tool, not a tipster feed: the value is the transparent, auditable model, exposed through the same tools to a human on the website and an AI through the MCP server.

The Sports Betting MCP Server