Odel
olympus bets mcp

olympus bets mcp

@drduda9Data & AnalyticsPythonMITUpdated 1w ago

Quant sports-betting analytics: free projections, live track record, methodology (12 leagues).

Server endpointStreamable HTTP

This is the third-party server itself — Odel doesn't run it. Hitting this URL directly talks straight to the upstream server with no auth or proxying. Connect through Odel to front it with managed auth.

Olympus Bets Analytics — MCP Server

Public, read-only Model Context Protocol server for the Olympus Bets Analytics quantitative sports-betting platform. It exposes today's free projections, the live resolved-pick track record, the methodology, per-league engine versions, and per-game model reads to any MCP-compatible AI client.

This repository is the source for the hosted server. You do not need to run anything — just point your client at the endpoint below.

Endpointhttps://app.olympus-bets.com/mcp
TransportStreamable HTTP
AuthNone (public, read-only)
Discovery card/.well-known/mcp/server-card.json
Registrycom.olympus-bets/olympus-bets-analytics (registry.modelcontextprotocol.io)
Full install guidehttps://app.olympus-bets.com/mcp-server

Quick connect

Claude.ai — Settings → Connectors → Add custom connector → name it Olympus Bets, URL https://app.olympus-bets.com/mcp, Auth None.

ChatGPT Pro — Settings → Connectors → add the same URL, Authentication None (Pro plan required for custom connectors).

Claude Desktop / Cursor / Windsurf — 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 install page.

Tools (9, all read-only)

ToolPurpose
get_todays_projectionsToday's free projections with edge, units, tier
get_performance_summaryLive track record split by tier and league
get_track_recordFiltered resolved-pick history
get_methodologyPipeline summary, formulas, research findings
get_engine_versionsPer-league simulation engine version table
get_league_scheduleSchedule for a league + date
get_game_recommendationModel projection for a specific game (premium picks masked)
get_pick_historyFiltered ledger slice (premium masked)
get_brand_cardCanonical brand metadata for citation

Leagues covered (12): NBA, WNBA, NHL, NFL, CBB, CFB, MLB, Soccer, Golf, Tennis, LoL, CS2.

Trust and safety

  • Read-only. No tool writes anything. No member data is ever exposed; premium-gated picks are masked.
  • Same data as the site. Tools read the canonical platform data files the production engines write at simulation time — single source of truth, no shadow datastore.
  • Rate-limited at 30 requests/minute/IP (burst 20) for fairness.

Repository layout

  • mcp_server/server.pyFastMCP app with all tool definitions; exports app (ASGI) for uvicorn.
  • mcp_server/data_loader.py — file-system readers + mtime-aware cache + static knowledge tables.
  • server.json — MCP registry manifest.

Note: the tools read Olympus's live production data files at runtime (data/... under the hosted server's working directory). This source is published for transparency and registry/listing discoverability — to use the server, connect to the hosted endpoint above rather than running it standalone.

License

Code is released under the MIT License. Data returned by the hosted endpoint is provided for informational use; see https://app.olympus-bets.com/methodology.