lumiclip

AI Video Clipper Tool - It gets youtube url or file as input and it finds highlights and cut the clips with auto captions and auto reframe to vertical.

Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Generate Clips: Start AI clip generation from a YouTube video. Returns {project_id, status, poll_url, estimated_minutes}. Poll with get_project_status every 10-15 seconds, or provide a callback_url fo
  • Get Project Status: Returns {id, name, status, step, error, expected_clips, duration, clips[]}. Clips sorted by score, each with clip_status (pending/exporting/completed/failed) and download_url when
  • List Projects: Returns {projects[], total, limit, offset}. Each project has id, name, status, step, expected_clips, clips_count, duration, created_at.

What data it sees

Do you need an account

No: the server works without sign-in

AI Video Clipper Tool - It gets youtube url or file as input and it finds highlights and cut the clips with auto captions and auto reframe to vertical.

How to connect

How to connect lumiclip to Claude

The server address to paste into Claude settings:

https://lumiclip--lumiclip.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect lumiclip to ChatGPT

The server address to paste into ChatGPT settings:

https://lumiclip--lumiclip.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect lumiclip to Cursor

The server address to paste into Cursor settings:

https://lumiclip--lumiclip.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (5)

Raw names from tools/list. Only developers need these.

generate_clipsStart AI clip generation from a YouTube video. Returns {project_id, status, poll_url, estimated_minutes}. Poll with get_project_status every 10-15 seconds, or provide a callback_url for webhook notification.
get_project_statusReturns {id, name, status, step, error, expected_clips, duration, clips[]}. Clips sorted by score, each with clip_status (pending/exporting/completed/failed) and download_url when ready.
list_projectsReturns {projects[], total, limit, offset}. Each project has id, name, status, step, expected_clips, clips_count, duration, created_at.
get_clipReturns full clip details: id, project_id, title, duration, score, reason, export_status, export_quality, is_exported, video_url, thumbnail_url.
check_usageReturns {plan, credits_remaining, credits_total, period_start, period_end}. Check before generate_clips to confirm enough credits.