MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
Open-source all-in-one MCP-first customer platform: KB, Conversations, CRM, CMS, Outreach, 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。
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://mcp.getmunin.com/mcp在终端中运行这条命令
claude mcp add --transport http munin https://mcp.getmunin.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"munin": {
"url": "https://mcp.getmunin.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": {
"munin": {
"type": "http",
"url": "https://mcp.getmunin.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://mcp.getmunin.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。
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6日
注册名称已通过域名 getmunin.com 验证(注册中心会核实域名所有权)
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 440 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
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 3 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(5.52.0)于昨天进入注册中心。
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。
Your whole customer operation, behind one MCP endpoint.
Website · See it in action · Documentation · MCP Registry
CRM, conversations, outreach, journeys, CMS, knowledge base, and analytics on one Postgres schema — exposed as MCP tools your agents drive, not screens you click through. Headless the way a headless CMS is: the dashboard owns settings, auth, and the human half of the work — an inbox where a person takes over a conversation, and a review queue where they approve what the agent proposed — but there is no admin UI to click your way through the data itself. Every action runs through MCP tools, callable from any MCP-compatible client (Claude, Cursor, ChatGPT, custom runners) — same tools, same permissions, same audit log, whether a human or an agent is driving. Munin even ships its own: an in-process, per-org agent runner that answers live conversations and works the curation queue against an LLM provider you configure — so the platform runs out of the box, with external MCP clients optional.
The console — settings, auth, the inbox, and the review queue. It drives the same MCP tools your agents call.
The review queue — an agent drafts, files the evidence behind the draft, and waits; approving is the human's keystroke.
The embeddable chat widget — answering a live customer from the knowledge base, ready to hand off to a human and be picked back up by the agent.
| Module | Tools | What it does |
|---|---|---|
| Knowledge Base | kb_* | documents, hybrid search, audience scoping |
| Conversations | conv_* | channels, messages, handover |
| CRM | crm_* | contacts, companies, deals |
| CMS | cms_* | collections, entries, assets |
| Outreach | outreach_* | campaigns, broadcasts, drafts, send rules |
| Journeys | journeys_* | multi-step journeys: triggers, waits, branches, agent steps, goals |
| Analytics | analytics_* | page-view + search events |
These seven modules aren't separate products — they share one Postgres schema, one permission model, and one audit log. Together with integrations and platform plumbing they add up to 307 MCP tools and 75 skills. Watch how they tie together:
POST /v1/events) or a store order, or by hand; company journeys run once per company and message chosen people there.Three kinds of integration, three homes. Which one you want depends on what the other system *is*.
Email over IMAP/SMTP, or a generated forwarding address you point your existing mailbox at. The embeddable chat widget, themeable and dark-mode aware, speaking 23 languages. Voice through Threll.ai or Vapi, SMS through Twilio or MessageBird. Each one is a channel adapter behind the same conv_* tools.
Slack mirrors each conversation into a thread: your team replies from the thread and the customer receives it, outreach proposals arrive with approve and dismiss buttons, and CMS publishes are announced with a link to the live article. The conversation, the approval, and the audit entry are the same ones the dashboard shows.
Read live over the vendor's API and never copied into Munin, so there is nothing to sync and nothing to go stale.
| Domain | Tools | Vendors |
|---|---|---|
| Commerce | commerce_* | Shopify, Magento 2 / Adobe Commerce |
| Bookings | bookings_* | Gastroplanner — availability, create, modify, cancel |
| Search Console | seo_* | Bing Webmaster Tools, Google Search Console |
| Anything proprietary | yours | any MCP server you run |
Commerce and bookings have a self-service half: an end-user agent in the chat widget looks up *their own* order or booking, bound to the caller's identity server-side rather than to whatever email the model was told. Search Console is operator-facing and admin-only. Connections are stored encrypted, authorize by API key or OAuth redirect depending on the vendor, and are managed from the dashboard's Integrations page.
Have a system no vendor adapter covers? Point Munin at an MCP server you run and its tools become connector tools, with per-connection allow-lists over which of them agents may call.
An in-process, per-org agent runner answers live conversations on every channel (chat widget, email, SMS, voice) against the LLM provider you configure — drafting and sending replies, and handing off to a human when needed.
The in-process agent runner also works a durable background job queue: scheduled KB curation, CRM hygiene, contact extraction, and outreach drafts, with retry and dead-letter handling.
Everything an agent proposes and a person decides lands in one queue — KB revisions, outreach proposals, m
只显示了开头部分;其余内容请在仓库中阅读