Wieldr game radar
Hourly radar of Roblox, Steam, Fortnite, iOS and itch.io games: rising games, niches and gaps.
作者提供的说明(英文原文)
Monte Carlo NFL, MLB, NHL, NBA and soccer odds, plus model-vs-market edge from live prices
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http sports-probabilities https://commodus67--sports-probabilities-mcp.apify.actor/mcp --header 'Authorization: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"sports-probabilities": {
"url": "https://commodus67--sports-probabilities-mcp.apify.actor/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"sports-probabilities": {
"type": "http",
"url": "https://commodus67--sports-probabilities-mcp.apify.actor/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 必填 HTTP header这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
服务器要求先登录,才会列出它的工具。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日
注册名称已通过 GitHub 账户 commodus67 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 393 毫秒内响应(HTTP 401)
需要你自己复制粘贴密钥或令牌
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:Authorization
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.0.12)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Wieldr game radar, SFX Brew, ReversePort
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Hourly radar of Roblox, Steam, Fortnite, iOS and itch.io games: rising games, niches and gaps.
Free game sound effects for AI agents: 45 Eastern and general SFX rendered locally to WAV or JS.
Reverse engineer and port apps and games: Godot, Unity IL2CPP, .NET, binaries, with parity checks.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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.
| Sport | Teams | Probabilities |
|---|---|---|
| NFL | All 32 | Playoffs, division, wild card, No. 1 seed |
| MLB | All 30 | Postseason, division, wild card, top seed |
| NHL | All 32 | Playoffs, division, wild card, conference top seed, Presidents' Trophy |
| NBA | All 30 | Playoffs, play-in, top six, division, best record, conference finals, conference title, championship |
| Soccer | 17 leagues | Title, top four, continental qualification, playoff, relegation |
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.
| Tool | Purpose |
|---|---|
get_team_probabilities | One team's full probability set, current record, projected finish and ranking |
get_league_probabilities | A whole league ranked by probability rather than by points or record |
compare_model_vs_market | Model against live Kalshi prices: edge, expected value after fees, fractional Kelly stake |
run_scenario | A fresh simulation under custom model assumptions, with movement analysis |
get_probability_history | How a team's probability moved across the season, from archived runs |
compare_model_vs_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.
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" } } } }
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.
Pay per event, billed through Apify. From $50.00 per 1,000 probability reads. Full pricing on the Actor page.
This is statistics and simulation. It is not betting advice, and it does not produce picks.