Server data from the Official MCP Registry
Quant sports-betting analytics: free projections, live track record, methodology (12 leagues).
Quant sports-betting analytics: free projections, live track record, methodology (12 leagues).
Remote endpoints: streamable-http: https://app.olympus-bets.com/mcp
Valid MCP server (1 strong, 4 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
9 tools verified · Open access · No issues found
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Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-olympus-bets-olympus-bets-analytics": {
"url": "https://app.olympus-bets.com/mcp"
}
}
}From the project's GitHub README.
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.
| Endpoint | https://app.olympus-bets.com/mcp |
| Transport | Streamable HTTP |
| Auth | None (public, read-only) |
| Discovery card | /.well-known/mcp/server-card.json |
| Registry | com.olympus-bets/olympus-bets-analytics (registry.modelcontextprotocol.io) |
| Full install guide | https://app.olympus-bets.com/mcp-server |
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.
| Tool | Purpose |
|---|---|
get_todays_projections | Today's free projections with edge, units, tier |
get_performance_summary | Live track record split by tier and league |
get_track_record | Filtered resolved-pick history |
get_methodology | Pipeline summary, formulas, research findings |
get_engine_versions | Per-league simulation engine version table |
get_league_schedule | Schedule for a league + 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 |
Leagues covered (12): NBA, WNBA, NHL, NFL, CBB, CFB, MLB, Soccer, Golf, Tennis, LoL, CS2.
mcp_server/server.py — FastMCP 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.
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.
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