Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Run JavaScript in a sandbox to orchestrate Sonarr, Radarr, Plex and other media services.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"mediafleet": {
"command": "npx",
"args": [
"-y",
"@reneturcios/mediafleet",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add mediafleet -- npx -y @reneturcios/mediafleet mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"mediafleet": {
"command": "npx",
"args": [
"-y",
"@reneturcios/mediafleet",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"mediafleet": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/mediafleet",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 5 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Tools MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
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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.