How do I install Cliponit?

Cliponit is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Cliponit safe to use?

Yes. Cliponit passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Cliponit?

Cliponit uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Cliponit MCP Server

by MattJeff

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

Long video to captioned 9:16 shorts, plus AI explainer videos from a topic or voice. 70 tools.

About

Long video to captioned 9:16 shorts, plus AI explainer videos from a topic or voice. 70 tools.

Remote endpoints: streamable-http: https://cliponit.app/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved).

Endpoint verified · Requires authentication · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-mattjeff-cliponit": {
      "url": "https://cliponit.app/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

ClipOnIt MCP Server

Turn a long video into short, subtitled, auto-reframed clips — and make AI explainer videos from a topic or a voice-over — driven from Claude, ChatGPT, or any MCP client. 70 tools.

ClipOnIt is a hosted video clipping service. This repository documents its remote MCP server, so that an AI assistant can run both products on your behalf:

Clipping — import a video, find the best moments, reframe on faces, add word-by-word subtitles, and export vertical clips.
Explainer videos — go from an idea, a script or a voice-over to an animated explainer built from a library of nearly 11,000 elements, then critique, polish and render it.

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 PKCE (S256). Clients identify themselves with a Client ID Metadata Document (an HTTPS client_id URL) or register through Dynamic Client Registration (RFC 7591) — no manual key needed. 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`
Explainer — plan	`explainer_idea` · `explainer_storyboard` · `explainer_styles` · `explainer_templates` · `explainer_schema` · `explainer_check`
Explainer — elements	`explainer_library` · `explainer_browse` · `explainer_search_elements` · `explainer_suggest_elements` · `explainer_describe_elements` · `explainer_library_elements` · `explainer_my_elements` · `explainer_create_element` · `explainer_library_add_element` · `explainer_forge`
Explainer — build	`explainer_compose` · `explainer_produce` · `explainer_assist` · `explainer_variants` · `explainer_critique` · `explainer_polish` · `explainer_preview` · `explainer_versions`
Explainer — voice	`explainer_import_audio` · `explainer_audio_status` · `explainer_audio_list` · `explainer_compose_from_audio` · `explainer_narrate` · `explainer_retake`
Explainer — render	`explainer_render` · `explainer_wait` · `explainer_export` · `explainer_job_status` · `explainer_job_wait` · `explainer_jobs` · `explainer_job_cancel`
Explainer — library	`explainer_list` · `explainer_delete` · `explainer_my_templates` · `explainer_template_save` · `explainer_template_run` · `explainer_taste_get` · `explainer_brand_get` · `explainer_brand_set`

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.

"Make a 60-second explainer about how our onboarding works, in our brand colors, with a voice-over."

The assistant chains explainer_idea → explainer_produce → explainer_job_wait → explainer_critique → explainer_polish → explainer_render → explainer_wait.

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.

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