Install
$ agentstack add mcp-getcutpro-mcp ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
CutPro MCP
[](https://www.npmjs.com/package/@cutpro/mcp) [](https://registry.modelcontextprotocol.io) [](https://smithery.ai/servers/contact-8lma/cutpro)
A Model Context Protocol (MCP) server that turns long videos into viral clips with AI. It exposes the full CutPro API as tools, so an LLM can run the whole flow: analyze a video, clip the best moments, render the final MP4, and publish to TikTok, Instagram and YouTube.
Key features
- End to end. All 34 v1 endpoints as tools: workspace, balance, videos, clipping, clips, templates, renders, posts and connections.
- Token efficient. Results are compact and projected to the fields that matter;
list_clipsis rating sorted, capped, and omits long signed URLs unless asked. - 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.
Getting started
Requirements
- Node.js 18 or newer.
- A CutPro account on the Pro 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"],
"env": { "CUTPRO_API_KEY": "" }
}
}
}
Install
[](https://insiders.vscode.dev/redirect?url=vscode%3Amcp%2Finstall%3F%257B%2522name%2522%253A%2522cutpro%2522%252C%2522command%2522%253A%2522npx%2522%252C%2522args%2522%253A%255B%2522-y%2522%252C%2522%2540cutpro%252Fmcp%2522%255D%257D) [](https://cursor.com/en/install-mcp?name=cutpro&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBjdXRwcm8vbWNwIl19) [](https://lmstudio.ai/install-mcp?name=cutpro&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBjdXRwcm8vbWNwIl19) [](goose://extension?cmd=npx&arg=-y&arg=%40cutpro%2Fmcp&id=cutpro&name=CutPro&description=AI%20video%20clipping%20via%20the%20CutPro%20API)
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= -- npx -y @cutpro/mcp
Claude Desktop
Add to claude_desktop_config.json (Settings, Developer, Edit Config):
{
"mcpServers": {
"cutpro": {
"command": "npx",
"args": ["-y", "@cutpro/mcp"],
"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 -e CUTPRO_API_KEY=
Codex
Add to ~/.codex/config.toml:
[mcp_servers.cutpro]
command = "npx"
args = ["-y", "@cutpro/mcp"]
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 authorize with your CutPro API key on a consent page (OAuth), so no local setup is needed.
Configuration
The server is configured with environment variables.
| Variable | Description | Required | | --- | --- | --- | | CUTPRO_API_KEY | Your CutPro API key (Pro plan). | 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 |
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. |
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
In OAuth mode the user authorizes with their own API key on a consent page; the access token maps server side to that key. Without MCP_REDIS_URL, an in-memory store is used (single instance, state lost on restart).
Tools
Workspace and balance
- get_workspace: the workspace this key resolved to, with plan and role.
- get_balance: current credit balance.
- getbalancehistory: ledger of credits added and consumed.
Videos and uploads
- list_videos: your source video library.
- start_upload: get a presigned URL to upload your own file (max 2 GB; .mp4/.mov/.webm/.mkv).
- complete_upload: register a finished upload and get its credit cost.
- delete_video: delete a source video and its submissions.
Clipping
- analyze_video: preview metadata and credit cost of a public URL (free).
- submit_clipping: start AI clipping (charges credits).
- list_submissions: clipping jobs for a video.
- get_submission: poll a submission until completed or failed.
- delete_submission: delete a submission and its clips.
Clips and templates
- list_clips: clips of a completed submission, rating sorted (URLs opt-in).
- apply_template: apply an editing template to clips in bulk.
- delete_clip: delete a single clip.
- list_templates: editing templates to apply to clips.
Renders
- render_clip: render a clip to a final MP4.
- get_render: poll a render until completed.
- getrenderdownload: signed download URL of a completed render.
- cancel_render: cancel or delete a render.
- getrenderlimits: render quota for the workspace.
- startbulkdownload / getbulkdownload: bundle several renders into one download.
Posts and connections
- create_post: publish rendered clips to connected accounts (immediate or scheduled).
- listposts / getpost / updatepost / deletepost: manage posts.
- publish_post: trigger publishing now.
- retrypostitem / deletepostitem: handle individual targets.
- listconnections / getconnection: connected social accounts.
Each tool carries read-only / write / destructive annotations so clients can plan calls.
Links
- Docs: cut.pro/docs/api-reference/mcp
- npm: @cutpro/mcp
- MCP Registry:
io.github.getcutpro/cutpro
License
MIT
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: getcutpro
- Source: getcutpro/mcp
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.