agent-plugin  by ChatCut-Inc

AI agent plugin for video editing

Created 1 month ago
605 stars

Top 53.3% on SourcePulse

GitHubView on GitHub
Project Summary

The ChatCut Agent Plugin bridges Codex AI with ChatCut's video editing platform, enabling AI-assisted video production. It allows users to import media, modify timelines, generate motion graphics and assets, transcribe audio, add captions, and export videos via AI commands, streamlining complex editing workflows.

How It Works

The plugin connects Codex to ChatCut through a hosted MCP endpoint (https://api.chatcut.io/api/external-mcp/mcp). Codex manages user authentication upon plugin installation or first use, linking the user's ChatCut account. The plugin package includes metadata, MCP configuration, and specific workflow skills designed for AI-driven interaction with ChatCut projects.

Quick Start & Requirements

  • Prerequisites: ChatCut account, Codex with plugin support, access to a ChatCut project.
  • Setup: Install the plugin in Codex; authentication is handled via Codex's sign-in flow.
  • Resources: Product info at chatcut.io; repository at https://github.com/ChatCut-Inc/agent-plugin.git.

Highlighted Details

  • Supports a comprehensive suite of AI-driven video editing tasks: media import, timeline edits, motion graphics, asset generation, transcription, captioning, and export.
  • Integrates via a dedicated hosted ChatCut MCP endpoint for robust communication.
  • Features pre-built workflow skills for common editing operations.

Maintenance & Community

  • Product support and information are available via chatcut.io. The README does not detail community channels (e.g., Discord, Slack) or notable contributors.

Licensing & Compatibility

  • The README does not specify a software license. This absence may pose restrictions for commercial use or integration into closed-source projects.

Limitations & Caveats

  • Dependent on both ChatCut accounts and the Codex environment with plugin capabilities.
  • Technical specifics of AI models for generation tasks are not disclosed.
  • Lack of licensing information presents potential adoption hurdles.
  • Community engagement details and contribution pathways are not outlined.
Health Check
Last Commit

2 days ago

Responsiveness

Inactive

Pull Requests (30d)
10
Issues (30d)
0
Star History
606 stars in the last 30 days

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