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PopNx MCPMCP servers for people who use AI · explained in plain words

Mediafleet

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/mediafleet

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

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 mcp

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32461 servers in this category
  • Published to the registry more recently than 88% of the other 32461 servers in this category
  • Basic checks equal to or better than 100% of the other 32461 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Mediafleet safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, dotnet-mcp

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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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