MCP.Market

Sports Probabilities MCP server

online · 100% uptime
by commodus67·io.github.commodus67/sports-probabilities-mcp·v0.0.12

Monte Carlo NFL, MLB, NHL, NBA and soccer odds, plus model-vs-market edge from live prices

B78/100grade B
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B78/100

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Sports Probabilities MCP tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-10-14 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 514ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityauth enforced (unknown)9/15
  • Maintenancelast push 33 days ago12/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Sports Probabilities MCP compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
78/100
higher than 57% of 4,461 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
1,138 ms
faster than 8% of 2,334 AI and agents servers

Install Sports Probabilities MCP in Claude Code, Cursor or VS Code

claude mcp add --transport http sports-probabilities-mcp https://commodus67--sports-probabilities-mcp.apify.actor/mcp
Add to Cursor

What the publisher says

From the Sports Probabilities MCP repository's README, as published. We do not edit it. Read it on GitHub

Sports Probabilities MCP

An MCP server that gives AI assistants Monte Carlo probabilities for the NFL, MLB, NHL, NBA and 17 soccer leagues, plus a model-versus-market comparison against live Kalshi prices.

Ask in plain language from Claude, ChatGPT or Cursor and get a computed number back — not an estimate the model made up.

The server runs on Apify: https://apify.com/commodus67/sports-probabilities-mcp

This repository holds the documentation and the registry manifest (server.json). The implementation lives in the Actor above.

Coverage

Soccer leagues: Premier League, EFL Championship, LaLiga, Serie A, Bundesliga, Ligue 1, Eredivisie, Primeira Liga, Süper Lig, Belgian Pro League, Scottish Premiership, Brasileirão, Liga MX, Liga Profesional (Argentina), Primera A (Colombia), MLS, Austrian Bundesliga. Other ESPN soccer slugs are supported.

Tools

Model vs market

comparemodelvs_market reads live Kalshi playoff contracts for all four North American leagues — KXNFLPLAYOFF, KXMLBPLAYOFFS, KXNHLPLAYOFF and KXNBAPLAYOFF — and returns the gap between model and market, the better side of each contract, expected value after the taker fee and a capped quarter-Kelly stake.

For the NHL and NBA, value calls and stakes stay off until teams have played ten games, as in the underlying Actors; edges are still reported in full. For soccer, or to compare against a bookmaker, pass your own prices in marketProbabilities.

Connect

Streamable HTTP transport, stateless. Endpoint:

https://commodus67--sports-probabilities-mcp.apify.actor/mcp

Clients that support OAuth (Claude custom connectors, for example) sign in with an Apify account — no token to paste. Other clients send an Apify API token as a bearer token:

{
  "mcpServers": {
    "sports-probabilities": {
      "url": "https://commodus67--sports-probabilities-mcp.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_API_TOKEN"
      }
    }
  }
}

How it works

Each answer comes from one of five published Monte Carlo Actors — NFL, MLB, NHL, NBA and soccer — that take live standings and the remaining schedule, play out the rest of the season thousands of times, and count how often each outcome happens. The MCP server calls those Actors and caches the result — it does not reimplement the simulation, so an answer here never disagrees with the same query made directly against the API.

Every response carries the date and the source of the run it came from.

Pricing

Pay per event, billed through Apify. From $50.00 per 1,000 probability reads. Full pricing on the Actor page.

Note

This is statistics and simulation. It is not betting advice, and it does not produce picks.

Nothing above is checked by us. What we check is on the safety report.

Sports Probabilities MCP: common questions

Is Sports Probabilities MCP server safe?
Mostly: it is graded B (78/100). Read the Sports Probabilities MCP safety report
How do I install Sports Probabilities MCP?
It runs remotely at commodus67--sports-probabilities-mcp.apify.actor. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Sports Probabilities MCP need an API key?
Yes. The registry entry asks for Authorization.
Is Sports Probabilities MCP maintained?
The last commit was 55 days ago (2026-09-11). The latest release is v0.0.12.
Is Sports Probabilities MCP up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Sports Probabilities MCP?
Servers from other publishers that do the same job: Watch Skill MCP server, WaveSpeed MCP server and Godot MCP server.
How does Sports Probabilities MCP compare with other AI and agents MCP servers?
safety score 78/100 (higher than 57% of 4,461 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 1,138 ms (faster than 8% of 2,334 AI and agents servers). Full comparison.

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