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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Audivo

作者:AudivoDotDev版本 0.4.2i★ 0i电脑或云端
注册名称io.github.AudivoDotDev/mcp

安装方法

What it does

Podcast transcripts: send an episode link and get the transcript back, a page at a time.

  • Connects 电脑或云端
  • Account or key Cloud: Sign in to the service when you connect (OAuth) · Local: Needs AUDIVO_API_KEY
  • Category 游戏、体育、美食与学习

安装

选择你使用的 AI 应用,然后复制设置。

通过 5/5 项检查 · 你的提问会经过开发者的服务器(api.audivo.dev) · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 2 分钟

不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加

  1. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. 点击“Add” → “Custom” → “Web”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称Audivo
    Remote MCP server URL · 地址https://api.audivo.dev/mcp

    在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add

  3. 在聊天中开启

    +ConnectorsAudivo

  4. 试一试

    用 Audivo 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Audivo,或回答中出现 Audivo 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

能否连接 ChatGPT 取决于方案

完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页

  1. 在网页版 ChatGPT 打开添加 MCP 的页面

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. 填写名称和地址

    输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin

    Name · 名称Audivo
    Connection · 地址https://api.audivo.dev/mcp
  3. 在聊天中选择 Audivo

    开启新聊天,输入前先从插件列表中选择 Audivo

  4. 试一试

    用 Audivo 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 ChatGPT 说正在使用 Audivo,或回答中出现 Audivo 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Claude Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  2. 粘贴这条命令并按 Enter

    claude mcp add --transport http --scope user audivodotdev https://api.audivo.dev/mcp
  3. 在 Claude Code 中输入 /mcp

    应能看到 Audivo 在列表中并显示已连接

  4. 试一试

    用 Audivo 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Audivo,或回答中出现 Audivo 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  2. 在 Cursor 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Audivo 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Audivo,或回答中出现 Audivo 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  2. 在 VS Code 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Audivo 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Audivo,或回答中出现 Audivo 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://api.audivo.dev/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Audivo 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http --scope user audivodotdev https://api.audivo.dev/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "audivodotdev": {
      "url": "https://api.audivo.dev/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "audivodotdev": {
      "type": "http",
      "url": "https://api.audivo.dev/mcp"
    }
  }
}

安装在电脑上

Claude Code

claude mcp add --scope user audivodotdev --env AUDIVO_API_KEY=your-value -- npx -y @audivo/mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "audivodotdev": {
      "command": "npx",
      "args": [
        "-y",
        "@audivo/mcp"
      ],
      "env": {
        "AUDIVO_API_KEY": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "audivodotdev": {
      "command": "npx",
      "args": [
        "-y",
        "@audivo/mcp"
      ],
      "env": {
        "AUDIVO_API_KEY": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "audivodotdev": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@audivo/mcp"
      ],
      "env": {
        "AUDIVO_API_KEY": "your-value"
      }
    }
  }
}

需要你填写的值

  • AUDIVO_API_KEY 机密 必填 env
    An Audivo API key (hk_live_...) from https://dash.audivo.dev

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。

一览

每周下载量i
80/周
连接方式
电脑或云端
传输方式
stdio, streamable-http
最新版本i
0.4.2
发布到注册中心i
2026年10月2日
代码最后更新i
2026年10月2日
作者
AudivoDotDev
软件包
npm: @audivo/mcp
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

服务器要求先登录,才会列出它的工具。

基础检查i

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14日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 AudivoDotDev 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于43天前

  • ✓ 通过

    有许可证

    使用 MIT

  • ✓ 通过

    端点有响应

    在 190 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

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用 Google 登录后写评价

与“游戏、体育、美食与学习”中的其他服务器比较i

  • 星标数多于此分类中其他 1485 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1485 个服务器的 36% 更新
  • 基础检查结果等于或优于此分类中其他 1485 个服务器的 100%

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。

常见问题

Audivo 安全吗?

它在 5 项适用的基础检查中通过了 5 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。

它需要哪些密钥或代码?

你需要填写:AUDIVO_API_KEY

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于43天前,最新版本(0.4.2)于43天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。

有什么可以替代它?

同一分类中有:Honcho, ShipSwift, Pm Claude Skills

同类别的其他选择

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

Honcho

Memory that reasons: continual learning for stateful agents. Better context, fewer tokens.

作者:plastic-labs广泛使用★ 81043个月前更新

在云端运行

ShipSwift

40+ production-ready SwiftUI recipes for building full-stack iOS apps via MCP.

作者:signerlabs广泛使用★ 32719个月前更新

在云端运行

Pm Claude Skills

1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.

作者:mohitagw15856广泛使用↓ 2542/周★ 154322天前更新

在你的电脑上运行

作者的 README

打开 README

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。

Audivo MCP server

Podcast transcripts for Claude, ChatGPT, Codex, Cursor, and any other MCP client, backed by the Audivo API. Ask for an episode; get the transcript back.

Transcribe the latest episode of Acquired and summarise it.

Two ways to connect. The hosted endpoint serves eleven tools. The local server serves the same eleven, with transcribe also taking a file on your machine or a YouTube link, plus upload_audio and youtube_search. Both serve an app to clients that render MCP Apps.

HostedLocal
Where it runsAudivo's serversYour machine, spawned by the client
TransportStreamable HTTP at https://api.audivo.dev/mcpstdio via npx -y @audivo/mcp@latest
CredentialSign in with OAuth, or Authorization: Bearer hk_live_…AUDIVO_API_KEY environment variable
Good forClaude on the web and desktop, ChatGPT, anything that takes a URLClaude Code, Codex, Cursor, VS Code, and every client that spawns a process
YouTubeNoYes, downloaded on your machine with yt-dlp

Tools

ToolWhat it doesSpends credits
transcribeThe default. One episode in, its transcript out, a page at a timeYes, about one per audio minute
search_showsFind shows by name, host, or topicNo
chart_showsThe current chart for a categoryNo
list_episodesA show's episodes, newest firstNo
quotePrice a selection of many episodes before anything runsNo
confirmTurn a quote into a job groupYes, up to the quote's ceiling
group_statusWhere a group's jobs are, and which transcripts are readyNo
list_groupsYour recent groupsNo
cancel_groupStop what has not started and release its creditsNo
read_transcriptA job's transcript, a page at a time; waits for a running jobNo
list_transcriptsYour recent transcripts, with their titlesNo
upload_audioAnnounce and upload a file from this machineNo (local only)
youtube_searchFind an episode on YouTube when it has no podcast feedNo (local only)
transcribe

Pass one episode: an Apple Podcasts link, feed_url with guid, an episode_id from list_episodes (with that show's feed_url and itunes_id, so an episode nobody has transcribed yet can be found), or an upload_id — and on the local server, a YouTube link or an absolute path.

  • An episode that is already transcribed comes back at once.
  • A fresh one becomes a job. transcribe waits for it inside the call: up to 20 seconds on the hosted server, whose gateway allows 29, and 50 by default on the local one, which reports progress to clients that ask for it. If it is still running, the answer is the job_id and read_transcript waits the rest.
  • The transcript comes a page at a time, about 40,000 characters each (roughly 50 minutes of speech). Each page names the exact call for the next one.
  • max_credits refuses the call, before anything is spent, if it could cost more. A job holds its ceiling (the estimate plus 25%) and settles at the audio it measured, never above.
  • The same call twice returns the same job, never a second charge: the idempotency key is derived from the request.

For many episodes at once — a chart, a back catalogue — use quote and then confirm, which refuses unless the model restates the quote's total.

The app

Clients that render MCP Apps — ChatGPT, Claude, and others — show results in Audivo's own view instead of only text:

  • `transcribe` opens a transcript reader: the show and episode, its length, language and cost, then the transcript with timestamps, a search box, and more pages on demand. A job still running shows its progress and fills in when it finishes.
  • `list_transcripts` opens your library: recent transcripts to open in the reader, and a search that finds a show, lists its episodes, and transcribes one after you confirm its estimated cost. ChatGPT also puts the library in its sidebar and as a tab beside a conversation.

The app is one self-contained page served as ui://audivo/app-v1.html. It loads nothing from any domain, so it declares none. Its data travels in each result's _meta, which hosts give the app and never the model; the model keeps getting the same fenced text as before. Every title and transcript line is rendered as text, never as markup. Clients without MCP Apps ignore all of this.

Its source is in ui/; npm run build:ui bundles it into src/app-html.ts, and a test fails when the two disagree.

Local: run it with npx

You need an API key from the Audivo dashboard. Keys are shown once. Set the key in the environment the client starts the server with, then add the server.

Claude Code (or install the Audivo plugin, which adds this server and the skill together)

claude mcp add --scope user audivo -e AUDIVO_API_KEY=hk_live_... -- npx -y @audivo/mcp@latest

Codex

codex mcp add audivo --env AUDIVO_API_KEY=hk_live_... -- npx -y @audivo/mcp@latest

Cursor, Claude Desktop, Windsurf, and other JSON-configured clients

{

"mcpServers": { "audivo": { "command": "npx", "args": ["-y", "@audivo/mcp@latest"], "env": { "AUDIVO_API_KEY": "hk_live_..." } } } }

VS Code (.vscode/mcp.json)

{

"servers": { "audivo": { "type": "stdio", "command": "npx", "args": ["-y", "@audivo/mcp@latest"], "env": { "AUDIVO_API_KEY": "hk_live_..." } } } }

Keep files that contain a real key out of Git and shared chats.

Updating

@latest makes npx look the package up on npm each time the client starts the server, so a new release arrives with your next session. To get it in the session you are in, restart the server: in Claude Code, /mcp, choose audivo, then Reconnect. A spec without @latest works too, but a bare @audivo/mcp resolves to a copy in the current project first, when there is one. The hosted server at https://api.audivo.dev/mcp is kept current by Audivo.

Environment
VariableRequiredMeaning
AUDIVO_API_KEYYesYour API key. Bearer in front of it is accepted and normalised.
AUDIVO_API_BASE_URLNoThe API origin. Defaults to https://api.audivo.dev. Must be a public https origin: no userinfo, no loopback or private address.
AUDIVO_YTDLP_PATHNoA yt-dlp binary to use for YouTube, instead of one on PATH or the managed copy.
AUDIVO_CACHE_DIRNoWhere the managed yt-dlp is kept. Defaults to your user cache directory (~/Library/Caches/audivo-mcp, ~/.cache/audivo-mcp, …).

The server writes nothing to stdout except protocol messages. Log lines go to stderr as JSON, and the key never appears in them.

YouTube (local server only)

When a show has no public RSS feed — many exist only on YouTube — search_shows finds nothing. On the local server, youtube_search finds the episode and transcribe takes its link:

Find the Costco episode of Acquired on YouTube and transcribe it

transcribe downloads the video's audio on your machine with yt-dlp, audio only and with no transcoding, uploads it to Audivo as your own upload, and transcribes it. The transcript is private to your account.

yt-dlp is found in this order: AUDIVO_YTDLP_PATH; a yt-dlp on your PATH; otherwise the project's official standalone binary for your platform, downloaded once from its GitHub releases into your user cache directory and checked against that release's SHA2-256SUMS before it is made executable. The package has no install script: nothing is downloaded until the first YouTube call. A managed copy that stops working is updated to the latest release once and the call retried; a yt-dlp you installed yourself is never touched. yt-dlp is given the Node running this server as its JavaScript runtime.

You run the download, on your machine, under your own account; you are responsible for having the rights to transcribe what you download, as with any upload. Audivo's servers never fetch from YouTube, which is why the hosted server does not offer any of this.

Upload your own audio

A recording you made, an interview, or any file you already have on disk:

Transcribe /Users/alex/Downloads/interview.m4a

transcribe with path announces the file to Audivo (its hash, size, content type, and duration), uploads the bytes straight to Audivo's storage with the signed URL the announcement returns, and transcribes it. upload_audio does only the first two steps and returns an upload_id, for when you want to quote several uploads together. The path must be absolute.

Limits: 1 byte to 5 GiB, up to 10 hours, and one of these content types: audio/mpeg, audio/mp3, audio/mp4, audio/m4a, audio/x-m4a, audio/aac, audio/x-aac, audio/ogg, audio/opus, audio/flac, audio/x-flac, audio/wav, audio/x-wav, audio/webm. An upload is kept for 7 days, and its transcript is private to your account; each account may hold up to 10 GiB across 100 unexpired uploads at a time. See the uploads guide.

Hosted: point a client at the URL

SettingValue
MCP URLhttps://api.audivo.dev/mcp

| Transport | Streamable HTTP

只显示了开头部分;其余内容请在仓库中阅读