MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
NBA and WNBA player-prop analytics: daily board, graded track record, matchup and referee data.
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。
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://nbaproplab.com/mcp在终端中运行这条命令
claude mcp add --transport http proplab https://nbaproplab.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"proplab": {
"url": "https://nbaproplab.com/mcp"
}
}
}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": {
"proplab": {
"type": "http",
"url": "https://nbaproplab.com/mcp"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://nbaproplab.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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7日
注册名称已通过 GitHub 账户 Khavel 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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
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 1 项适用的基础检查中通过了 1 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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
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(1.0.0-remote)于15天前进入注册中心。
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:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ 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
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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。
Model Context Protocol server for PropLab: NBA and WNBA player-prop analytics. You get the daily board the model publishes before tip-off, its public record graded against the official box score, defense vs position, usage, referees and player research.
There are two ways to use it:
https://nbaproplab.com/mcpThe data is informational sports analysis, not betting advice. PropLab does not take wagers, link to sportsbooks or guarantee outcomes, and past results do not predict future ones.
Streamable HTTP, stateless, no authentication. Every tool is read-only and returns the same public data shown on nbaproplab.com.
Claude (claude.ai, desktop, mobile): Settings → Connectors → Add custom connector. Name: PropLab. URL: https://nbaproplab.com/mcp. Authentication: none.
Claude Code:
claude mcp add --transport http proplab https://nbaproplab.com/mcp
Codex:
codex mcp add proplab --url https://nbaproplab.com/mcp
or in ~/.codex/config.toml:
[mcp_servers.proplab]
url = "https://nbaproplab.com/mcp"
Any other client that supports streamable HTTP can point at the same URL.
| Tool | Parameters | Returns |
|---|---|---|
daily_board | league (nba or wnba) | The published player-prop board for the next slate (player, stat, line, direction, tier, model score) and how the previous board settled |
track_record | league?, tier? (Premium or Standard), from?, to? | Settled record by tier and stat. The published record is the Premium tier (premiumHitRate, goodPicks) and Standard (marginalPicks); overall* fields also count internal ratings that are never published. Dates before 2026-04-03 are a backtest |
defense_vs_position | league | Points, rebounds and assists each team allows to guards, forwards and centers relative to the league average, with defensive rating, pace and ranks |
usage_leaders | league | Players ranked by usage rate this season, with last-10-games usage, minutes and points |
nba_today | — | Today's NBA games with tip-off times, yesterday's scores and the standings |
games | date? (yyyy-MM-dd) | NBA and WNBA games on a date (default: today, US Eastern) |
referee_assignments_today | — | The crew of each NBA game today, once the league publishes it the morning of game day |
referees | — | NBA referees this season with games worked and fouls per game against the league average |
search_players | query | NBA and WNBA players by name, accents optional ("Jokic" finds Jokić) |
player_research | playerId | Recent game logs, current prop lines across books with hit rates, injury status, next-game context and the model's picks on that player |
Example prompts:
Invalid arguments, for example league: "nfl", return a tool error that explains the valid values.
Not yet published on npm, so build it from this repository:
git clone https://github.com/Khavel/proplab-mcp.git
cd proplab-mcp npm install npm run build # compiles src/index.ts → dist/index.js
Then register it in your MCP client with the absolute path to the build:
{
"mcpServers": { "proplab": { "command": "node", "args": ["/absolute/path/to/proplab-mcp/dist/index.js"], "env": { "PROPLAB_API_KEY": "…" } } } }
PROPLAB_API_KEY is optional: without it the public tools still work. For local development with hot reload, run npm run dev.
| Variable | Required for | Description |
|---|---|---|
PROPLAB_API_URL | No | API base URL (default: https://nbaproplab.com) |
PROPLAB_API_KEY | Backtest, pick and research tools | Bearer API key |
The key is minted at nbaproplab.com → Account → API keys. It is shown once at creation and can be revoked from the same screen.
Public, no key:
| Tool | Endpoint | Key params |
|---|---|---|
proplab_track_record | GET /api/v1/track-record | league?, tier?, statType?, from?, to? |
proplab_dashboard | GET /api/v1/dashboard/today | date?, league? |
proplab_games | GET /api/v1/games | date? |
proplab_search_players | GET /api/v1/players/search | q |
proplab_system_status | GET /api/v1/health | — |
With PROPLAB_API_KEY:
| Tool | Endpoint | Key params |
|---|---|---|
proplab_backtest_summary | GET /api/v1/backtest/summary | from?, to?, league? |
proplab_backtest_daily | GET /api/v1/backtest/daily | from?, to?, league? |
proplab_backtest_by_rating | GET /api/v1/backtest/by-rating | from?, to?, league? |
proplab_backtest_by_stat | GET /api/v1/backtest/by-stat | from?, to?, league? |
proplab_pick_details | GET /api/v1/picks/{id} | id |
proplab_evaluate_pick | POST /api/v1/picks/evaluate | playerName, statType, line, direction, opponentTeam? |
proplab_player_research | GET /api/v1/research/player/{playerId} | playerId |
npx @modelcontextprotocol/inspector node dist/index.js
Then call proplab_system_status, which needs no key and should return the live system status.
proplab_evaluate_pick, which scores a hypothetical pick and stores nothing.Open an issue at github.com/Khavel/proplab-mcp/issues.