About Reeltopus
Reeltopus is a remote video-editing server for creators and teams using MCP clients. It finds and ranks clips from long videos, supports caption and edit changes, and can export or schedule posts to YouTube and LinkedIn.
Key features
- 01Find and rank video clips
- 02Edit captions, trims, B-roll, and looks
- 03Export MP4s, captions, and timelines
- 04Post or schedule to YouTube and LinkedIn
- 05Check processing hours and video status
Use cases
- 01Turn a long recording into vertical clips
- 02Review transcripts and adjust captions
- 03Export clips for an editing workflow
- 04Schedule a selected clip on YouTube or LinkedIn
MCP support
The hosted server at https://reeltopus.com/api/mcp connects to MCP clients over Streamable HTTP, with OAuth sign-in or an API key. It also provides prompts for clip creation, selection, and scheduling.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://reeltopus.com/api/mcpclaude mcp add --transport http com-reeltopus https://reeltopus.com/api/mcp{"mcpServers":{"com-reeltopus":{"type":"http","url":"https://reeltopus.com/api/mcp"}}}Open in Cursor{"servers":{"com-reeltopus":{"type":"http","url":"https://reeltopus.com/api/mcp"}}}Open in VS Code{"mcpServers":{"com-reeltopus":{"type":"http","url":"https://reeltopus.com/api/mcp"}}}{"mcpServers":{"com-reeltopus":{"serverUrl":"https://reeltopus.com/api/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 READMEReeltopus 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: [email protected] · 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.
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.