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

Longtake

by svatrousversion 1.0.2i★ –iRuns on your computer
Registry nameio.github.svatrous/longtake

Install

Overview

Description from the maker (original English)

Drive Longtake Studio from an agent: AI video takes on your own API key, characters, drafts, costs

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: Design, images & audio
  • You need to fill in: STUDIO_URL, STUDIO_TOKEN

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).
  • You fill in yourself: STUDIO_URL, STUDIO_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "longtake": {
      "command": "npx",
      "args": [
        "-y",
        "longtake-mcp"
      ],
      "env": {
        "STUDIO_URL": "your-value",
        "STUDIO_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add longtake --env STUDIO_URL=your-value --env STUDIO_TOKEN=your-value -- npx -y longtake-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "longtake": {
      "command": "npx",
      "args": [
        "-y",
        "longtake-mcp"
      ],
      "env": {
        "STUDIO_URL": "your-value",
        "STUDIO_TOKEN": "your-value"
      }
    }
  }
}

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": {
    "longtake": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "longtake-mcp"
      ],
      "env": {
        "STUDIO_URL": "your-value",
        "STUDIO_TOKEN": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • STUDIO_URL required env
    Studio address — https://longtake.studio for the cloud studio
  • STUDIO_TOKEN secret required env
    Personal agent token from the studio: account menu → API keys → Agent access

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account svatrous, 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 Design, images & audioi

  • More stars than 0% of the other 2204 servers in this category
  • Published to the registry more recently than 50% of the other 2204 servers in this category
  • Basic checks equal to or better than 100% of the other 2204 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 Longtake 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?

You need to fill in: STUDIO_URL, STUDIO_TOKEN

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 (1.0.2) reached the registry 28 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 on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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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.

longtake-mcp

MCP server for Longtake Studio — an AI video studio that runs on your own API key. With this server an AI agent (Claude Code, Codex, Cursor, any MCP client) can set up a production, cast characters with a locked voice, shoot takes on Seedance 2.0 / 2.5, Veo 3.1, Gemini Omni or Kling 3.0, draft cheaply and finish in 1080p, and read back the cost of every render.

Renders launched by an agent are billed exactly like clicks in the studio: the model provider (BytePlus, Google, Kling, fal.ai) charges your own key at its list price. Agent access itself is neither metered nor marked up.

Longtake is the name of the software. It is not the cinematography term "long take" — though that is where the name comes from: one take of one scene is the unit of work.

What the agent gets — 13 tools

ToolWhat it does
studio_overviewProjects, episodes, scenes, characters and assets — the whole studio at a glance
create_project · create_folder · create_sceneThe production structure: project → episode → scene
create_characterCast a character with a portrait and a locked voice sample; the studio screen-tests the portrait against moderation
generate_mocapA four-view character sheet (Seedream / Nano Banana Pro)
upload_assetReference images, audio and video clips for the project library
estimate_costThe price of a take before it is shot — model, resolution, length, reference clips
generate_videoShoot a take; @names in the prompt resolve to characters and assets; draft: true shoots a Seedance 2.5 draft
finish_draftFinish a Seedance 2.5 draft in 1080p — the same take, rendered sharper
take_status · scene_takesStatus, file, token spend and what a take was shot as
cancel_takeDelete a take (a queued BytePlus render is cancelled at the provider)

Setup

  1. Issue a token. In the studio: account menu → API keys → Agent access — MCP → create. It is shown once and can be revoked alone.
  2. Register it with your agent. The package is on npm as longtake-mcp, so npx fetches it — nothing to clone. For Claude Code:
   claude mcp add longtake \

-e STUDIO_URL=https://longtake.studio \ -e STUDIO_TOKEN=cf_your_token \ -- npx -y longtake-mcp

Any other MCP client takes the same command and the same two environment variables. As JSON (Cursor, Codex, Claude Desktop):

   {

"mcpServers": { "longtake": { "command": "npx", "args": ["-y", "longtake-mcp"], "env": { "STUDIO_URL": "https://longtake.studio", "STUDIO_TOKEN": "cf_your_token" } } } }

Prefer a checkout? git clone https://github.com/svatrous/longtake-mcp.git && cd longtake-mcp && npm install, then point the command at node mcp-server.js.

The full guide, with what the token can and cannot do, is at longtake.studio/mcp. Prompt-writing skills for the same agent (Seedance 2.0, Seedance 2.5, Gemini Omni, character sheets) are at longtake.studio/skills.

Safety

The token acts as your account for the work: it shoots takes on your provider keys, inside your rate limits. It cannot read or change those keys, issue or revoke tokens, or touch billing — those routes turn an agent token away. Everything else you can do it can do too, including deleting a project, so keep it out of shared configs and revoke it in the same dialog if it leaks.

Local files. Three tools read a file from this machine: upload_asset; create_character, when given a portrait or a voice sample by path; and generate_mocap, for its reference photos. They take only media — jpg, png, webp, gif, mp3, wav, m4a, ogg, mp4, mov — and only a regular file whose first bytes really are that format, up to 89 MB. A directory, a device, a pipe or a text file renamed to .png is refused before anything is read or sent. What does go goes to your studio (STUDIO_URL), into the account the token belongs to, and nowhere else.

HTTPS only. The token travels over https://, or over plain http:// to a studio on this machine (localhost, 127.0.0.1, [::1]). Any other http:// address is refused before a request is made.

License

MIT. This file is a copy of the studio's own mcp-server.js; the studio also serves it as longtake.studio/mcp-server.cjs.

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