MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
Reliability scoring for agent jobs and habit analytics. Pay per call via x402 (USDC on Base).
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。
HABITSCORE_PRIVATE_KEY, HABITSCORE_MAX_SPEND_USD, BASE_RPC_URL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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"habitscore": {
"command": "npx",
"args": [
"-y",
"habitscore-mcp"
],
"env": {
"HABITSCORE_PRIVATE_KEY": "your-value",
"HABITSCORE_MAX_SPEND_USD": "your-value",
"BASE_RPC_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add habitscore --env HABITSCORE_PRIVATE_KEY=your-value --env HABITSCORE_MAX_SPEND_USD=your-value --env BASE_RPC_URL=your-value -- npx -y habitscore-mcp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": {
"habitscore": {
"command": "npx",
"args": [
"-y",
"habitscore-mcp"
],
"env": {
"HABITSCORE_PRIVATE_KEY": "your-value",
"HABITSCORE_MAX_SPEND_USD": "your-value",
"BASE_RPC_URL": "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": {
"habitscore": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"habitscore-mcp"
],
"env": {
"HABITSCORE_PRIVATE_KEY": "your-value",
"HABITSCORE_MAX_SPEND_USD": "your-value",
"BASE_RPC_URL": "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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
HABITSCORE_MAX_SPEND_USD envBASE_RPC_URL env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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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6日
发布者(mydev-tools.tech)不是仓库所有者(Ialyahya96);可能是其他人代为上架的
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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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 0 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:HABITSCORE_PRIVATE_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.1)于9天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
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。
MCP server for Habitscore — analytics over anything with a recurring completion history.
Two families of tools, one engine:
Pays per call with x402: USDC on Base, no account, no API key, no subscription. From $0.03 per call.
Walkthrough with a working x402 client example: https://mydev-tools.tech/agents/reliability/
The server runs on your machine with your wallet. It signs payments locally and the private key never leaves the process. Nothing is custodied on our side and there is no account to create — the same promise the HTTP API makes.
Without a wallet configured, every tool still works in quote-only mode: it returns the price and the payment terms instead of erroring, so you can see what a call would cost before funding anything.
// Claude Desktop: claude_desktop_config.json
// Cursor: ~/.cursor/mcp.json { "mcpServers": { "habitscore": { "command": "npx", "args": ["-y", "habitscore-mcp"], "env": { "HABITSCORE_PRIVATE_KEY": "0x…", "HABITSCORE_MAX_SPEND_USD": "0.25" } } } }
Omit HABITSCORE_PRIVATE_KEY to start in quote-only mode.
Use a dedicated wallet holding only what you intend to spend. Fund it with a small amount of USDC on Base (contract 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913). You do not need ETH: under EIP-3009 you sign the authorisation off-chain and the facilitator submits the transaction and pays the gas.
HABITSCORE_MAX_SPEND_USD caps what a single tool call may spend, and is checked against the price the server actually quotes before anything is signed. An agent loop that retries a paid tool can otherwise spend without bound, and you are the one paying — so a server that quotes more than you authorised is refused rather than paid.
| Tool | Price | Returns |
|---|---|---|
analyze_reliability | $0.08 | Reliability score and grade per task, lapse risk, latency-trend warnings, priority-ranked remediation |
analyze_behaviour | $0.05 | Adherence and consistency scores, streak momentum, lapse-risk flags, highlights, watchouts, recommendations |
recommend_next_actions | $0.03 | Ranked next-best action per habit with rationale and priority |
extract_insights | $0.05 | Condensed patterns, correlations and risk signals |
build_habit_plan | $0.10 | Multi-week plan for one habit: weekly targets and dated milestones |
Price is per call, not per habit. analyze_behaviour accepts up to 25 habits for the same $0.05, so batching is by far the cheapest way to use this.
Reliability:
{
"system": "billing-pipeline", "tasks": [ { "name": "nightly-etl", "success_rate": 0.83, "current_streak": 0, "best_streak": 52, "runs": 210, "latency_trend": "rising", "p95_latency_ms": 38000, "cadence": "daily", "critical": true } ] }
name, success_rate (0–1), current_streak and best_streak are required. Note that `latency_trend: "rising"` is the degradation signal — the opposite polarity to the behavioural tools, where a falling trend is the warning.
Behavioural:
{
"habits": [ { "name": "Morning run", "completion_rate": 0.72, "current_streak": 9, "best_streak": 21, "average_mood": 7.4, "energy_trend": "rising" } ] }
name, completion_rate (0–1), current_streak and best_streak are required. average_mood, mood_correlation, energy_trend and risk_score are optional and sharpen the result.
"Habit" is the domain vocabulary, but the analysis applies to any recurring activity with completion history — training schedules, medication adherence, study routines, recurring operational tasks.
The engine is deterministic and CPU-only: threshold rules and arithmetic over the numbers you supply. Same input, same output, every time.
It is not a language model and does not generate prose beyond composing its findings. It does not store anything — the agent endpoints are stateless, accept no user identifier, and cannot read or infer any stored history. It is not medical, psychological or financial advice.
| Variable | Default | Purpose |
|---|---|---|
HABITSCORE_PRIVATE_KEY | — | Wallet key for signing payments. Omit for quote-only mode. |
HABITSCORE_MAX_SPEND_USD | 0.25 | Hard cap per tool call, enforced before signing. |
HABITSCORE_API_URL | https://api.mydev-tools.tech | API origin. |
BASE_RPC_URL | https://mainnet.base.org | Base RPC for balance reads and signing context. |
Every successful paid call appends the settlement transaction hash to the tool output. Open it on basescan.org to confirm the amount and recipient independently of anything this server reports.
Verified spend earns credits back — 5% from $10 lifetime, 10% from $100, 15% from $1,000, with higher rate limits at each tier. Credits are returned inline in the response that earns them and are redeemed with an X-Agent-Credit header on a later call.
MIT licensed.