CutPro

Name: CutPro
Author: getcutpro

by getcutproversion 3.0.3i★ –iComputer or cloud

Registry nameio.github.getcutpro/cutpro

Install

Overview

Description from the maker (original English)

Create images, videos, music, voices, sound effects and 3D with any AI model, plus AI video clips.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Design, images & audio
You need to fill in: CUTPRO_API_KEY

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: CUTPRO_API_KEY, CUTPRO_WORKSPACE_ID

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

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://mcp.cut.pro

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "cutpro": {
      "command": "npx",
      "args": [
        "-y",
        "@cutpro/mcp"
      ],
      "env": {
        "CUTPRO_API_KEY": "your-value",
        "CUTPRO_WORKSPACE_ID": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http cutpro https://mcp.cut.pro

Or run it on your computer

claude mcp add cutpro --env CUTPRO_API_KEY=your-value --env CUTPRO_WORKSPACE_ID=your-value -- npx -y @cutpro/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": {
    "cutpro": {
      "url": "https://mcp.cut.pro"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "cutpro": {
      "command": "npx",
      "args": [
        "-y",
        "@cutpro/mcp"
      ],
      "env": {
        "CUTPRO_API_KEY": "your-value",
        "CUTPRO_WORKSPACE_ID": "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": {
    "cutpro": {
      "type": "http",
      "url": "https://mcp.cut.pro"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cutpro": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cutpro/mcp"
      ],
      "env": {
        "CUTPRO_API_KEY": "your-value",
        "CUTPRO_WORKSPACE_ID": "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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://mcp.cut.pro

Menu names can differ slightly by plan and over time.

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

Values you fill in

CUTPRO_API_KEY secret required env
Your CutPro API key. Generate one at https://cut.pro/studio/me/api-keys.
CUTPRO_WORKSPACE_ID env
Only needed for multi-workspace keys.

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 getcutpro, 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Design, images & audioi

More stars than 0% of the other 2171 servers in this category
Published to the registry more recently than 85% of the other 2171 servers in this category
Basic checks equal to or better than 100% of the other 2171 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 CutPro 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: CUTPRO_API_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.0.3) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

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

Alternatives

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

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Runs on your computer★ 16,165MITUpdated 5 months ago

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Let any LLM watch a video locally — and search everything it has ever watched.

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Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

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Install

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.

CutPro MCP

A Model Context Protocol (MCP) server for AI generation of every kind, AI characters and clips. It exposes the full CutPro API as tools, so an LLM can:

Generate with any top AI model: images and videos (Veo, Kling, Seedance, Wan, Nano Banana, GPT Image), voices (ElevenLabs, Gemini), music (Suno, Eleven Music, MiniMax), sound effects, talking avatars and 3D models (Rodin, Hunyuan3D, TRELLIS), plus image and video tools (upscale, background removal, editing), from a prompt, images, a video or a sound, with each model's exact price before anything runs.
Create AI characters: realistic people that stay consistent across photos and videos, then swap them into any video while scene, camera, motion and sound stay.
Clip long videos and live streams: find the best moments and render the final MP4.
Post and schedule: publish any clip, generated video or persona video to TikTok, Instagram, YouTube, Facebook, Threads, LinkedIn, Pinterest and Bluesky, now or at a set time.
Transcribe: any audio or video into timed captions (SRT, VTT, text or JSON).

Ask in any language. Some things people do with it:

"Make a 9:16 ad of my sneakers with Veo and schedule it on TikTok for Friday 6 pm"
"Create an upbeat instrumental for my YouTube intro"
"Make this photo of me say the script below in Spanish"
"Upscale this product photo and remove the background"
"Turn this photo of my lamp into a 3D model for my store"
"Clip yesterday's podcast into 5 shorts with captions"
"Faça uma narração em português deste roteiro" / "Haz un video de una cafetería al amanecer"

Key features

Always in sync. Every v1 endpoint is a tool, generated from the live API spec: the model catalog and generation of every kind, AI characters, workspace, credits, videos and uploads, clipping, clips, channel and live monitoring, templates, renders, transcriptions, posts and connections. Chat completions and embeddings stay out: they are for code, and an AI client is already a language model.
Runs everywhere. stdio for local clients (Claude Code, Cursor, Claude Desktop, Windsurf, VS Code, Cline, Zed) and a hosted Streamable HTTP endpoint with OAuth for ChatGPT and Claude.ai.
Latest protocol. Speaks MCP 2026-07-28 (stateless, server/discover, cacheable lists, multi round-trip requests) and every earlier revision, on the same endpoint.
Results you can watch. Clients that support MCP Apps show generated images, videos, voices and music, 3D files, AI characters, clips and renders as an inline player that follows a job until it is ready, with buttons to open it in CutPro, animate an image, use a voice in a video or schedule a post.
Asks before it spends. On clients that support elicitation, every call that charges credits shows the price and waits for the user's confirmation before anything is charged.

Getting started

Requirements

Node.js 18 or newer.
A CutPro account (any plan) and an API key. Generate one at cut.pro/studio/me/api-keys.
An MCP-compatible client.

Standard config

Most clients use the same JSON. Add your API key under env:

"mcpServers": { "cutpro": { "command": "npx", "args": ["-y", "@cutpro/mcp@latest"], "env": { "CUTPRO_API_KEY": " " } } } }

Install

After installing via a button, add your CUTPRO_API_KEY to the server's env.

Claude Code

claude mcp add cutpro --env CUTPRO_API_KEY=<your-api-key> -- npx -y @cutpro/mcp@latest

Claude Desktop

Add to claude_desktop_config.json (Settings, Developer, Edit Config):

"mcpServers": { "cutpro": { "command": "npx", "args": ["-y", "@cutpro/mcp@latest"], "env": { "CUTPRO_API_KEY": " " } } } }

Cursor / Windsurf / VS Code (manual)

Add the standard config above to the client's MCP settings (mcp.json / mcpServers).

Cline

Open the MCP Servers panel, choose Configure, and add the standard config above.

Gemini CLI

gemini mcp add cutpro npx -y @cutpro/mcp@latest -e CUTPRO_API_KEY=<your-api-key>

Codex

Add to ~/.codex/config.toml:

[mcp_servers.cutpro]

command = "npx" args = ["-y", "@cutpro/mcp@latest"] env = { "CUTPRO_API_KEY" = " " }

ChatGPT and Claude.ai (hosted, no install)

Use the hosted server. Add a custom connector pointing to:

https://mcp.cut.pro

You sign in to cut.pro, pick the workspace and approve the connection, so no API key and no local setup are needed. Any CutPro plan can connect; jobs use the workspace's credits. Disconnect at any time in Settings, under Connected apps.

Claude Code plugin

The plugin bundles the hosted server with a skill that teaches Claude the CutPro workflows:

claude plugin marketplace add getcutpro/mcp

claude plugin install cutpro@cutpro

Updates

Every install stays current on its own:

Hosted (https://mcp.cut.pro, the Claude plugin and the ChatGPT app): always the latest release, nothing to do.
Local (npx -y @cutpro/mcp@latest): on start the server checks npm and, when a newer release exists, hands the session to it. This works even for a pinned version or a stale npx cache. Set CUTPRO_MCP_AUTO_UPDATE=0 to stay on the installed version; the server then tells the model an update is available.
Tools: new API endpoints show up as tools within ten minutes, without any release.

Every release is listed with its notes in Releases and CHANGELOG.md.

Configuration

The server is configured with environment variables.

Variable	Description	Required
`CUTPRO_API_KEY`	Your CutPro API key.	Yes (stdio)
`CUTPRO_WORKSPACE_ID`	Selects the workspace for multi-workspace keys.	No
`CUTPRO_API_URL`	Override the API base URL. Defaults to `https://api.cut.pro/api/v1`.	No
`CUTPRO_MCP_AUTO_UPDATE`	`0` keeps the installed version instead of switching to the newest release.	No

Self-hosting the remote (Streamable HTTP + OAuth)

Variable	Description
`MCP_TRANSPORT=http` / `PORT`	Serve Streamable HTTP at the root instead of stdio.
`MCP_OAUTH=1`	Enable the full OAuth 2.1 layer (discovery, DCR, PKCE) for browser clients.
`MCP_PUBLIC_URL`	Public endpoint, e.g. `https://mcp.cut.pro`. Its origin becomes the OAuth issuer.
`MCP_REDIS_URL`	Back OAuth state with Redis so it survives restarts and scales across instances.
`CUTPRO_APP_URL`	Where the consent screen lives. Defaults to `https://cut.pro`.
`OPENAI_APPS_CHALLENGE`	Domain verification token from the OpenAI plugin portal, served at `/.well-known/openai-apps-challenge`.

MCP_TRANSPORT=http PORT=8787 MCP_OAUTH=1 \

MCP_PUBLIC_URL=https://mcp.cut.pro MCP_REDIS_URL=redis://127.0.0.1:6379 \ npx -y @cutpro/mcp@latest

In OAuth mode the user signs in on cut.pro and approves the app there; cut.pro creates a key for that app and workspace, and the access token maps server side to it. Clients can register dynamically (DCR) or present a Client ID Metadata Document (CIMD). Without MCP_REDIS_URL, an in-memory store is used (single instance, state lost on restart).

Tools

The tools are built from the API's own OpenAPI spec (/api/v1/openapi.json), so they always match the API reference: one tool per endpoint, named after its operationId in snake case (analyzeVideo is analyze_video, createSubmission is create_submission), with the endpoint's own parameters, descriptions and responses. A new endpoint becomes a tool within ten minutes of reaching the API, with no new release of this package.

The usual flows:

Anything generated: list_featured_models (or list_models for the full catalog), quote_generation for the exact price, create_generation with that price and wait, then get_generation until it is ready. A model's own fields go in options, named as in its parameters. Pass a ready image's output.image_id to animate it, or a voice's `o

Only the beginning is shown; read the rest in the repo

CutPro

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

CutPro MCP

Key features

Getting started

Requirements

Standard config

Install

Updates

Configuration

Tools