原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Content

作者:LatentNoise版本 0.8.5i★ –i在你的电脑上运行
注册名称io.github.LatentNoise/content

安装

概览

作者提供的说明(英文原文)

Turn URLs, files and text into media, transcripts, summaries, translations and PDF.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 文档、表格与办公

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: CONTENT_API_URL, CONTENT_MCP_DOWNLOAD_DIR

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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": {
    "content": {
      "command": "uvx",
      "args": [
        "content-mcp"
      ],
      "env": {
        "CONTENT_API_URL": "your-value",
        "CONTENT_MCP_DOWNLOAD_DIR": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add content --env CONTENT_API_URL=your-value --env CONTENT_MCP_DOWNLOAD_DIR=your-value -- uvx content-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "content": {
      "command": "uvx",
      "args": [
        "content-mcp"
      ],
      "env": {
        "CONTENT_API_URL": "your-value",
        "CONTENT_MCP_DOWNLOAD_DIR": "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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "content": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "content-mcp"
      ],
      "env": {
        "CONTENT_API_URL": "your-value",
        "CONTENT_MCP_DOWNLOAD_DIR": "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。

需要你填写的值

  • CONTENT_API_URL env
    Base URL of your running Content engine (the REST API this server drives).
  • CONTENT_MCP_DOWNLOAD_DIR env
    The only directory this server may write downloaded artifacts to.

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。

它能做什么

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。

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7日

  • ✓ 通过

    作者与仓库一致

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

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 2197 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2197 个服务器的 41% 更新
  • 基础检查结果等于或优于此分类中其他 2197 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

Content 安全吗?

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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.8.5)于2个月前进入注册中心。

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。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ 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

Agent-Native Calendar

作者:BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

在云端运行★ 7,620MIT2个月前更新
安装

Excel MCP Server

作者:haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

在你的电脑上运行★ 4,276MIT6天前更新
安装

MCP Server for Excel

作者:sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

在你的电脑上运行★ 847MIT4天前更新
安装

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。

Content

Turn URLs, files, and text into media, knowledge, and documents.

One self-hosted engine. HomeTube client for YouTube — Content Studio for everything else — HomeTube browser extension — MCP server — CLI — Typed SDK — REST API underneath them all

Quick start · HomeTube · Coming from HomeTube? · All the clients · Connect an agent · Read the docs

Content is a self-hosted engine that turns supported sources into media, transcripts, summaries, translations, images, metadata, Markdown, PDF, and more. The backend analyzes each source, determines what it can actually produce, plans and runs the job, records its history, and delivers the results.

Everything else is a client of one public contract: HomeTube for the focused YouTube experience, Content Studio for general workflows, a Chromium extension for the tab you are already on, the `content-mcp` server for agents, a CLI for terminals and cron, a typed Python SDK for applications, the REST API for every other language, and Content Console to watch the engine work. Pick one or several — none of them is a layer the others have to pass through, and none of them holds business logic of its own.

HomeTube is the quickest way to see what that means: paste a YouTube URL, pick what you want out of it, and watch the files land in your library.

HomeTube in Content — paste a YouTube URL, choose what you want, follow the job into your library. More about HomeTube ↓

[!NOTE]

A proven workflow, now growing into a platform. The standalone

HomeTube container has passed

300,000 package downloads on GitHub Container Registry. It keeps running

and stays maintained — nothing breaks, and there is no deadline. Content is

where that work continues, and where its users are invited to move at their

own pace.

The two are separate projects: standalone HomeTube has not been retrofitted to

run on Content. The **HomeTube app in this repository is a new UI on the

Content engine**, carrying the same workflow forward.

Coming from standalone HomeTube? ↓

Quick start

Docker Compose is the only runtime prerequisite. Install from the published images — nothing to clone or build:

mkdir content && cd content

curl -fsSLO https://raw.githubusercontent.com/LatentNoise/content/main/deploy/docker-compose.yml curl -fsSL -o .env https://raw.githubusercontent.com/LatentNoise/content/main/.env.example docker compose up -d

The default .env starts the complete local stack:

ServiceDefault URLPurpose
Content Studiohttp://localhost:8502General requests across URL, file, upload, and inline-text sources
HomeTubehttp://localhost:8501Focused YouTube video and playlist workflow
Content Consolehttp://localhost:8503Health, configuration, storage, jobs, events, and logs
Content APIhttp://localhost:8010/docsREST API, OpenAPI, and embedded worker

Open Content Studio for the general workflow, or HomeTube if your source is YouTube. You can also skip both web apps entirely and drive the same engine from the MCP server, CLI, SDK, extension, or REST API.

Everything stays in the installation folder: ./data holds the database, jobs, and artifacts; finished files are delivered to ./playground/output. Set CONTENT_DELIVERY_DIR_HOST in .env to point at your own NAS or media library instead — its sub-folders then become the destination choices offered in the clients.

Update later with:

curl -fsSLO https://raw.githubusercontent.com/LatentNoise/content/main/deploy/docker-compose.yml

docker compose pull && docker compose up -d

The first line is not optional, and it is the one that is easy to skip. docker compose pull refreshes the images; the stack definition is the local copy you downloaded on day one, and new settings arrive in *it* — a container receives only what its environment: block names. A compose file left at its original version therefore keeps silently dropping every setting added since, however correctly you write it in .env. Your .env is yours and is never touched; compare it against the current .env.example when you want the new knobs.

Build from source instead — for development or to include the optional speech-to-text runner

git clone https://github.com/LatentNoise/content.git

cd content cp .env.example .env docker compose up -d --build

The repository's docker-compose.yml adds local build: definitions beside the same images. deploy/docker-compose.yml is the build-free deployment file used above; a test keeps the two aligned.

One source, many artifacts

The same engine serves media and document workflows:

                             ┌─ My Conference.mp4

├─ My Conference - audio.opus YouTube URL ──→ Content ─────┼─ My Conference - subtitles - en.srt ├─ My Conference - subtitles - fr.srt ├─ My Conference - transcript.txt ├─ My Conference - summary.md └─ My Conference - summary.pdf

Web page / text / .md file ──→ Content ──┬─ Article.txt ├─ Article - summary.md ├─ Article - translation.md └─ Article.pdf

Each branch starts with a declarative request. You describe the results; Content resolves what is possible, plans the work, runs the available tools, and records where every artifact came from. No yt-dlp flags, ffmpeg pipelines, transcription glue, or LLM orchestration in the client.

The clients

One engine, one contract, several independent front doors. Every client below speaks the same GenerationRequest, sees the same resolved capabilities, and produces the same artifacts — they differ in ergonomics, not in what they can ask for. HomeTube is entirely optional; so is every other row.

ClientBest forStart here
[HomeTube](#hometube--youtube-focused)The simplest YouTube video or playlist → library experienceIncluded in Docker Compose at :8501
[Content Studio](#content-studio--the-whole-contract-in-a-form)General capability-driven requests from URLs, uploads, server files, and inline textIncluded in Docker Compose at :8502
[Chromium extension](#chromium-extension--the-tab-you-are-already-on)Sending the current Chrome, Brave, Edge, or Vivaldi tab to ContentDownload the release zip, unzip, *Load unpacked*
[MCP server](#mcp-server--for-agents-and-ides)Giving Claude, an IDE, or another MCP agent real artifacts instead of talkuv tool install content-mcp
[CLI](#cli--terminals-scripts-and-cron)Terminals, scripts, cron jobs, and raw request filesuv tool install content-cli
[Python SDK](#python-sdk--typed-sync-and-async)Typed sync and async application integrationpip install content-sdk
[REST API](#rest-api--every-other-language)Any language or integration that speaks HTTP/api/v1, Swagger at :8010/docs
[Content Console](#content-console--observe-and-pilot-the-engine)Observing and operating the engineIncluded in Docker Compose at :8503
HomeTube — YouTube, focused

http://localhost:8501 · README

Paste a URL, choose the media and related artifacts, and follow the job into your library — the workflow demonstrated at the top of this page.

With HomeTube in Content, you can:

  • download a video or playlist as video or audio, with quality, codec, container, audio-language, and subtitle choices;
  • remove or mark sponsored segments with SponsorBlock, cut clips, use server-side cookie credentials, and embed subtitles, chapters, thumbnails, and metadata;
  • give every artifact a readable name and deliver it into a filesystem library watched by Plex, Jellyfin, or Emby;
  • ask the same source for a transcript, summary, thumbnail, or metadata — not just the downloaded media — when the required runners are available.

HomeTube is deliberately focused: it does not accept file, upload, or inline-text sources, and it does not expose the broader document workflow or PDF output. For those, use Content Studio, the API, CLI, or SDK. HomeTube is a Content client, not a layer every Content user must pass through.

It has no settings of its own. It reads the engine's configuration, so what changes HomeTube lives in the .env beside your docker-compose.yml: the delivery library whose sub-folders become the destination choices (CONTENT_DELIVERY_DIR_HOST), the languages pre-selected for audio and subtitles (CONTENT_LANGUAGE_PRIMARY, CONTENT_LANGUAGES_SECONDARIES, CONTENT_VO_FIRST, CONTENT_LANGUAGE_PRIMARY_INCLUDED_IN_SUBTITLES), and the server-side cookie file that unlocks age-restricted or members-only videos (CONTENT_CREDENTIALS — HomeTube only ever shows its id; the file never leaves the server). Nothing is ever pre-selected that the source does not offer, and no default is final.

[HomeTube's README](apps/web-hometube/READ

只显示了开头部分;其余内容请在仓库中阅读

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