@remotion/mcp
Enables Claude to generate, edit, and preview video programmatically within development workflows, reducing manual video production overhead and allowing tea…
Remotion's Model Context Protocol
- Generate video rendering scripts using Claude's understanding of your Remotion project structure
- Ask Claude to debug composition timing issues by analyzing your Remotion code patterns
- Automate creation of dynamic video templates that Claude can help customize for different data inputs
Enables Claude to generate, edit, and preview video programmatically within development workflows, reducing manual video production overhead and allowing teams to automate video asset creation as part of CI/CD pipelines.
Engineering teams building video-heavy applications or documentation systems that require dynamic video generation integrated with code deployment.
https://www.npmjs.com/package/@remotion/mcp
By jonny
How to Get It
npx -y @remotion/mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Help me generate video rendering scripts using Claude's understanding of my Remotion project structure
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 54,002 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 54,002 GitHub stars; contributors unknown; last commit 0d ago; license MIT.