CutPro MCP
About
34-tool MCP server for CutPro's v1 API — analyze videos, clip, render, and publish posts via AI clients like Claude, ChatGPT, and Cursor.
Details
- Transport
- SSE
- License
- MIT
Explore
- 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_clips is 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.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
CutPro MCPCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
- 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.
Most clients use the same JSON. Add your API key under env:
{
"mcpServers": {
"cutpro": {
"command": "npx",
"args": ["-y", "@cutpro/mcp"],
"env": { "CUTPRO_API_KEY": "<your-api-key>" }
}
}
}
<details>
<summary>Workspace and balance</summary>
- get_workspace: the workspace this key resolved to, with plan and role.
- get_balance: current credit balance.
- get_balance_history: ledger of credits added and consumed.
</details>
<details>
<summary>Videos and uploads</summary>
- 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.
</details>
<details>
<summary>Clipping</summary>
- 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.
</details>
<details>
<summary>Clips and templates</summary>
- 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.
</details>
<details>
<summary>Renders</summary>
- render_clip: render a clip to a final MP4.
- get_render: poll a render until completed.
- get_render_download: signed download URL of a completed render.
- cancel_render: cancel or delete a render.
- get_render_limits: render quota for the workspace.
- start_bulk_download / get_bulk_download: bundle several renders into one download.
</details>
<details>
<summary>Posts and connections</summary>
- create_post: publish rendered clips to connected accounts (immediate or scheduled).
- list_posts / get_post / update_post / delete_post: manage posts.
- publish_post: trigger publishing now.
- retry_post_item / delete_post_item: handle individual targets.
- list_connections / get_connection: connected social accounts.
</details>
Each tool carries read-only / write / destructive annotations so clients can plan calls.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"cutpro mcp": {
"cutpro": {
"command": "npx",
"args": [
"-y",
"@cutpro/mcp"
],
"env": {
"CUTPRO_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
}McpServers
{
"cutpro": {
"command": "npx",
"args": [
"-y",
"@cutpro/mcp"
],
"env": {
"CUTPRO_API_KEY": "<YOUR_API_KEY>"
}
}
}
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_clips is 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.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
