Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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.
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 …”。
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。
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。
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 GitHub 账户 CloudCorpRecords 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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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)。
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。
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。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Apify MCP Server
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
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 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.
Services are opted in through the environment:
| Variable | Meaning |
|---|---|
YARR_SERVICES | Comma-separated list of configured services. When unset, any service with a URL variable set counts as configured. |
YARR_ _URL | Base URL, e.g. YARR_SONARR_URL=http://localhost:8989. |
YARR_ _API_KEY | API key, sent as the X-Api-Key header. |
YARR_PLEX_TOKEN | Plex'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 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:
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}.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.describe("api.sonarr.get").input as its argument.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.
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.
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.
{
"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": "…" } } } }
| Tool | Arguments | What it does |
|---|---|---|
yarr | code: string (required) | Execute the async arrow function in the Code Mode sandbox and return {result, artifacts, logs}. |
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.
MIT — see LICENSE. Copyright (c) 2026 Rene Turcios.