Rendley MCP
Rendleyβs MCP server gives your AI client a full video editor. Connect it once, then create and edit video by describing what you want, in the same chat you already work in.
β labsco summary β our analysis, not the vendor's
What it is β Rendley's MCP server gives your AI client a full video editor, so you create and edit video by describing it in Claude, ChatGPT or any MCP client.
What you get
- Prompt-to-video edits β e.g. "transcribe this recording, trim filler, add captions and B-roll, and return a finished cut".
- Brand-locked renders β e.g. "apply my saved logo, colors, fonts and caption styles to every render".
- Multi-format reframing β e.g. "reframe this edit for TikTok, Reels and YouTube (9:16, 1:1, 16:9)" in one call.
- Repurpose long recordings β e.g. "cut ten vertical shorts from this webinar and queue a week of posts".
Requirements β Rendley account; connect to Claude or ChatGPT via the MCP connector.
Cost snapshot β Start for free. Cheapest paid: Starter $15/seat/month (no watermark, Full HD, 10 GB storage, 500 AI credits/mo).
Setup effort β Connect Rendley to Claude/ChatGPT once, then describe the video you want.
Our take β A powerful way to go from a chat prompt to a publish-ready, on-brand video without opening an editor; AI credits and export tiers mean heavy production will push you to Pro/Business.
Sources: https://rendley.com/products/mcp (+ https://rendley.com/pricing) β verified 2026-07-08.
Rendleyβs MCP server gives your AI client a full video editor. Connect it once, then create and edit video by describing what you want, in the same chat...
Connect Rendley to Claude or ChatGPT via the MCP connector. See https://rendley.com/products/mcp| name | price | what's included |
|---|---|---|
| Starter | $15/seat/month | No watermark, Full HD, 10 GB storage, 500 AI credits/mo, 2.5h captions |
| Pro | $30/seat/month | 4K, 50 GB, 1,200 AI credits/mo, brand kit, unlimited AI Agent conversations |
| Business | $70/seat/month | 100 GB, 3,000 AI credits/mo, unlimited workspaces, extended AI Agent context |
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.