MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
Hosted MCP server for MuntuAI outreach campaigns, leads, senders, domains, and analytics.
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 muntuai https://api.muntuai.com/api/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": {
"muntuai": {
"url": "https://api.muntuai.com/api/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": {
"muntuai": {
"type": "http",
"url": "https://api.muntuai.com/api/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。
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 design-smith 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。
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(1.0.0)于6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: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。
This repository contains the public documentation, manifest, and reference clients for the live MuntuAI MCP server. The runnable server implementation lives in the main Muntu backend.
The official Model Context Protocol (MCP) server for MuntuAI — giving AI agents programmatic access to email outreach campaigns, lead management, domain infrastructure, and real-time workspace events.
MuntuAI is an AI-native email outreach platform. This MCP server lets external agents (Claude, Cursor, custom scripts) connect to a MuntuAI workspace and perform actions: create campaigns, import leads, verify domains, send emails, and subscribe to webhook events — all through a standard MCP interface over HTTP.
Protocol: Model Context Protocol over HTTP (JSON-RPC 2.0) Transport: Streamable HTTP (text/event-stream or application/json) Server protocol revision: 2025-03-26 Server URL: https://api.muntuai.com/api/mcp
Log in to app.muntuai.com, go to Settings → Agent Keys, and create a key. Choose the autonomy level that matches what your agent needs:
| Level | What it can do |
|---|---|
observer | Read anything — campaigns, leads, domains, senders, events |
copilot | Read + create and modify — campaigns, domains, senders, leads, webhooks |
autonomous | Everything above + pause, resume, delete |
You will see the raw key once: mnt_ . . Copy it immediately.
Security note: store the raw agent key in an environment variable or secret manager. Do not commit it to source control or paste it into shared files.
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": { "muntu": { "url": "https://api.muntuai.com/api/mcp", "headers": { "Authorization": "Bearer ${env:MUNTU_AGENT_KEY}" } } } }
Cursor (.cursor/mcp.json or Settings → MCP):
{
"mcpServers": { "muntu": { "url": "https://api.muntuai.com/api/mcp", "headers": { "Authorization": "Bearer ${env:MUNTU_AGENT_KEY}" } } } }
Python:
pip install requests
export MUNTU_AGENT_KEY="mnt_YOUR_KEY_HERE" python clients/python/muntu_mcp_client.py list-campaigns
Recommended:
export MUNTU_SESSION_ID="$(uuidgen)"
Muntu uses the optional MUNTU_SESSION_ID to group requests into one logical MCP session for session-scoped safety controls and budgeting.
Once connected, ask your agent:
"List all campaigns in my MuntuAI workspace"
The agent will call resources/read on muntu://campaigns/{workspaceId} and return the campaign list.
Or via Python CLI:
python clients/python/muntu_mcp_client.py list-campaigns
python clients/python/muntu_mcp_client.py list-domains python clients/python/muntu_mcp_client.py list-emails
| Resource | URI | Description |
|---|---|---|
| workspace | muntu://workspace/{id} | Profile, policy, infrastructure counts |
| domains | muntu://domains/{id}?cursor=0&limit=50 | All domains with DNS and verification state |
| senders | muntu://senders/{id}?cursor=0&limit=50 | All email accounts with status |
| campaigns | muntu://campaigns/{id}?cursor=0&limit=20 | Unified campaign list |
| campaign-plans | muntu://campaign-plans/{id}?cursor=0&limit=20 | Draft review queue |
| events | muntu://events/{id}?cursor=0 | Recent system events (filterable) |
Grouped by domain — see tools/README.md for the full index.
muntuai-mcp/
├── README.md # This file ├── QUICKSTART.md # 5-minute setup guide ├── docs/ │ ├── authentication.md # Token format, headers, rate limits │ ├── autonomy-levels.md # Permission model │ ├── resources.md # All 6 resources with schemas │ ├── events.md # All event types and payloads │ ├── webhooks.md # Register, sign, verify │ └── errors.md # Error codes and handling ├── tools/ │ ├── README.md # Full tool index │ ├── campaigns.md │ ├── leads.md │ ├── senders.md │ ├── domains.md │ ├── email-generation.md │ └── meta.md ├── workflows/ │ ├── README.md # What workflows are │ ├── launch-first-campaign.md │ ├── review-and-send-drafts.md │ ├── domain-setup.md │ └── monitor-campaign.md ├── reference/ │ ├── event-types.md │ ├── resource-schemas.md │ └── tool-schemas.md ├── clients/ │ └── python/ │ ├── muntu_mcp_client.py # Reference Python client │ ├── README.md │ └── examples/ ├── agent-guides/ │ ├── for-claude.md │ ├── for-cursor.md │ └── decision-guide.md └── .well-known/ └── mcp-manifest.json # Machine-readable capabilities manifest
Workspace — All data in MuntuAI is scoped to a workspace. Your agent key is bound to one workspace and can only access data within it.
Autonomy levels — Every tool has a minimum required level. If your key's level is below the requirement, the call is rejected and the attempt is logged. See docs/autonomy-levels.md.
Campaign lifecycle — uploaded → enriching → drafting → sending → completed. Agents can observe this lifecycle through get_campaign_performance and the events resource. See workflows/monitor-campaign.md.
Domain verification — Before sending, a domain must be verified with the email provider. This involves publishing DNS records and triggering verification. See workflows/domain-setup.md.