Server data from the Official MCP Registry
Turn long videos into captioned vertical clips, export them and post them.
About
Turn long videos into captioned vertical clips, export them and post them.
Remote endpoints: streamable-http: https://reeltopus.com/api/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
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.
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": {
"com-reeltopus-mcp": {
"url": "https://reeltopus.com/api/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Reeltopus for AI agents
Reeltopus turns long videos into captioned vertical clips, exports them and posts them. It works with Claude,
ChatGPT, Cursor and any MCP client. This repo holds the install files for agent tools; the server itself is
remote: https://reeltopus.com/api/mcp (Streamable HTTP, OAuth sign-in or an API key).
Docs: https://reeltopus.com/docs/api/mcp · Support: support@reeltopus.com · Privacy: https://reeltopus.com/privacy
Install
- Claude Code (plugin: the server plus two workflow skills):
Then run/plugin marketplace add reeltopus/agents /plugin install reeltopus@reeltopus/mcp, pick reeltopus and sign in. Or add only the server:claude mcp add --transport http reeltopus https://reeltopus.com/api/mcp - Claude (claude.ai, Desktop, mobile): Customize → Connectors → Add → Add custom connector →
https://reeltopus.com/api/mcp - ChatGPT: chatgpt.com/plugins → + → Add custom MCP server → Public endpoint, the same URL, OAuth.
- Cursor: the button above, or
~/.cursor/mcp.json:{ "mcpServers": { "reeltopus": { "url": "https://reeltopus.com/api/mcp" } } } - Gemini CLI:
gemini extensions install https://github.com/reeltopus/agents - VS Code CLI:
code --add-mcp '{"name":"reeltopus","type":"http","url":"https://reeltopus.com/api/mcp"}' - Anything else: see llms-install.md.
One line in Claude Code
/reeltopus:clip-and-schedule
or just say "clip my latest video and schedule the best one". Claude finds your newest video (or uploads a file
you name), waits for the clips, picks the best one with the packaging that wins on your account, exports it and
schedules it after you confirm. Arguments are optional: /reeltopus:clip-and-schedule ~/Movies/ep12.mp4 youtube tomorrow 9am.
The server also offers these as MCP prompts in any client: clip_and_schedule, best_clips, clip_new_video
and post_as_series (in Claude Code: /mcp__reeltopus__clip_and_schedule).
What it can do
Check hours, upload or find videos, read ranked clips with transcripts, edit captions, trims, B-roll and looks, export MP4s, caption files and editor timelines, and post or schedule to connected YouTube and LinkedIn accounts (for other platforms, download the MP4). Agents ask before anything that posts or overwrites.
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