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。
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Mediafleet

作者:CloudCorpRecords版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.CloudCorpRecords/mediafleet

安装

概览

作者提供的说明(英文原文)

Run JavaScript in a sandbox to orchestrate Sonarr, Radarr, Plex and other media services.

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: 其他

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)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 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": {
    "mediafleet": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/mediafleet",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add mediafleet -- npx -y @reneturcios/mediafleet mcp

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": {
    "mediafleet": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/mediafleet",
        "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。

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": {
    "mediafleet": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/mediafleet",
        "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。

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。

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 CloudCorpRecords 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32435 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32435 个服务器的 88% 更新
  • 基础检查结果等于或优于此分类中其他 32435 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

Mediafleet 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(0.1.0)于4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。你的电脑上还需要有 Node.js, Docker。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Apify MCP Server

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Apify MCP Server

作者:apify

Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡

在云端运行今天更新
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。

mediafleet

mediafleet puts a whole self-hosted media stack behind a single MCP tool. Instead of one tool per operation per service, the server exposes one Code Mode tool, yarr: you hand it a JavaScript async arrow function, and it runs in a sandbox whose globals are callables for the media services you configured — Sonarr, Radarr, Prowlarr, Tautulli, Overseerr, Bazarr, SABnzbd, qBittorrent, Plex and Jellyfin. A single call can query three services, combine the answers, and return one composed result.

This package is a clean-room rebuild of that documented surface. It implements the full documented core: the one tool, the sandbox globals, the action dispatch, and the snippet store described below.

Configuration

Services are opted in through the environment:

VariableMeaning
YARR_SERVICESComma-separated list of configured services. When unset, any service with a URL variable set counts as configured.
YARR_ _URLBase URL, e.g. YARR_SONARR_URL=http://localhost:8989.
YARR_ _API_KEYAPI key, sent as the X-Api-Key header.
YARR_PLEX_TOKENPlex's credential, sent as the X-Plex-Token header.

Only configured services appear in the sandbox. Unconfigured names are simply not defined there, and api. is absent for them too.

The sandbox

The code argument is an async arrow function. It is invoked with no argument (snippet runs pass their input instead; see below) and its return value — normalised to plain JSON-shaped data — becomes the tool result, alongside any artifacts written and any console lines captured during the run.

Globals available to the code:

  • Per-service callables — sonarr, radarr, … Calling one performs a GET (await sonarr("/api/v3/series")); .get, .post, .put and .delete(path, body) are attached, plus .status(), which probes the service's conventional status endpoint and reports {service, ok, status} or {service, ok: false, error}.
  • `api. .get/post/put/delete(path, body)` — the explicit HTTP surface for each configured service.
  • `callTool(action, params)` — dispatch for the documented actions. Generic: service_status ({service?}), api_get, api_post, api_put, api_delete (each {service, path, body?}) and help. Codemode: codemode ({code, input?} runs nested code, otherwise returns a summary), op (one of {path} to describe, {name, input?} to run a snippet, {code, input?} to run code), snippet_list, snippet_save ({name, code}), snippet_run ({name, input?}) and snippet_delete ({name}).
  • `codemode.search(query)` — substring-search the catalogue of services, api paths, actions and helpers.
  • `codemode.describe(path)` — return the catalogue entry for one path, e.g. codemode.describe("api.sonarr.get").
  • `codemode.snippets()` — list the snippets in the store.
  • `codemode.run(name, input)` — run a saved snippet; its function receives input as its argument.
  • `writeArtifact(name, content)` — store a named text artifact; everything written during a run is returned with that run's result.
  • `console.log/info/warn/error` — captured and returned as the run's logs, never written to the server's stdout.

Snippets live in a per-process in-memory store: they persist across calls for the life of the server process and are gone when it exits.

Two honest limits: the sandbox is node:vm, which isolates globals (there is no process or require inside) but is not a hardened security boundary; and destructive verbs are not specially gated — if the code issues a DELETE, mediafleet executes it, exactly as written.

Install

npx @reneturcios/mediafleet yarr '{"code":"async () => { return await callTool(\"help\"); }"}'

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/mediafleet

The container defaults to the MCP server. Pass CLI arguments to use it as a CLI instead. Remember to pass the YARR_* environment variables to whichever process runs the server.

CLI

mediafleet yarr '{"code":"async () => { return await api.sonarr.get(\"/api/v3/system/status\"); }"}'

mediafleet yarr '{"code":"async () => { const s = await callTool(\"service_status\"); return s; }"}' mediafleet --version mediafleet mcp

Exit codes: 0 on success, 1 on an execution or validation error, 2 on a usage error.

MCP client config

{

"mcpServers": { "mediafleet": { "command": "npx", "args": ["-y", "@reneturcios/mediafleet", "mcp"], "env": { "YARR_SERVICES": "sonarr,radarr,plex", "YARR_SONARR_URL": "http://localhost:8989", "YARR_SONARR_API_KEY": "…", "YARR_RADARR_URL": "http://localhost:7878", "YARR_RADARR_API_KEY": "…", "YARR_PLEX_URL": "http://localhost:32400", "YARR_PLEX_TOKEN": "…" } } } }

MCP tools

ToolArgumentsWhat it does
yarrcode: string (required)Execute the async arrow function in the Code Mode sandbox and return {result, artifacts, logs}.

Development

npm install

npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts — fake executor and fake fetch only, no network npm run dev # tsx src/cli.ts

All service traffic goes through a single injectable executor function, and the default executor's HTTP goes through an injectable fetch, which is what lets the test suite exercise the whole surface — URL and header construction included — without a live service.

License

MIT — see LICENSE. Copyright (c) 2026 Rene Turcios.

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