About ClipOnIt
ClipOnIt is a hosted video-clipping service for people who want to create short clips from longer videos. Its MCP server lets an assistant manage the workflow from importing a video and selecting moments to reframing, subtitling, and exporting clips.
Key features
- 01Import and manage videos
- 02Find moments and edit clip bounds
- 03Reframe and zoom clips automatically
- 04Add word-by-word subtitles
- 05Export clips in multiple aspect ratios
Use cases
- 01Create short clips from a long video
- 02Reframe clips around a speaker
- 03Add styled subtitles to clips
- 04Export clips in vertical or square formats
MCP support
The remote MCP server exposes tools for video import and management, clip selection and editing, subtitles, reframing, and export. It supports OAuth 2.1 or API-key authentication.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://cliponit.app/mcpclaude mcp add --transport http mattjeff-cliponit https://cliponit.app/mcp{"mcpServers":{"mattjeff-cliponit":{"type":"http","url":"https://cliponit.app/mcp"}}}Open in Cursor{"servers":{"mattjeff-cliponit":{"type":"http","url":"https://cliponit.app/mcp"}}}Open in VS Code{"mcpServers":{"mattjeff-cliponit":{"type":"http","url":"https://cliponit.app/mcp"}}}{"mcpServers":{"mattjeff-cliponit":{"serverUrl":"https://cliponit.app/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEClipOnIt MCP Server
Turn a long video into short, subtitled, auto-reframed clips — driven from Claude, ChatGPT, or any MCP client.
ClipOnIt is a hosted video clipping service. This repository documents its remote MCP server, so that an AI assistant can run the whole pipeline on your behalf: import a video, find the best moments, reframe on faces, add word-by-word subtitles, and export vertical clips.
Endpoint: https://cliponit.app/mcp (Streamable HTTP)
Connect
Claude.ai / Claude Desktop — Settings → Connectors → Add custom connector → paste https://cliponit.app/mcp → Connect → sign in → Authorize.
Claude Code
claude mcp add --transport http cliponit https://cliponit.app/mcp
Then /mcp → Authenticate.
ChatGPT — Settings → Connectors → Developer mode → Create → URL https://cliponit.app/mcp → OAuth.
Anything else — the server speaks JSON-RPC 2.0 over HTTP POST and advertises OAuth 2.1 metadata at /.well-known/oauth-protected-resource.
Authentication
OAuth 2.1 with Dynamic Client Registration (RFC 7591) and PKCE (S256) — no manual key needed; your client registers itself. An API key (Authorization: Bearer ck_…, created from the billing page) works too for scripts. API and MCP access are included from the Starter plan.
Tools
| Area | Tools |
|---|---|
| Videos | list_videos · upload_video_file · import_video_url · get_video · wait_video · delete_video |
| Clips | find_moment · get_clip · delete_clip · set_clip_bounds · snap_clip_to_words · get_transcript |
| Editing | update_clip_edit · set_default_subtitles · auto_reframe · auto_zoom · detect_silences · describe_clip |
| Export | export_clip · export_all_clips · get_export · wait_export · cancel_export · get_export_frame |
| Account | get_quota |
Formats: 9:16, 16:9, 1:1 and 4:5, each with its own independent edit. Subtitles come in five styles, word by word.
Example
"Take my last uploaded video, find the 5 best moments, reframe them on the speaker, add yellow karaoke subtitles, and export them in 9:16."
The assistant chains list_videos → get_video → auto_reframe → update_clip_edit → export_clip → wait_export and hands back the MP4 links.
Links
- Web app — https://cliponit.app
- API reference (OpenAPI 3.1) — https://cliponit.app/openapi.json · interactive: https://cliponit.app/docs
- Plain-text summary for LLMs — https://cliponit.app/llms.txt
- Discovery manifest — https://cliponit.app/.well-known/mcp.json
License
The contents of this repository (documentation and server manifest) are released under the MIT License. The ClipOnIt service itself is a hosted product; see https://cliponit.app/terms.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.