Use Rendi with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Process and transform images with an API that resizes, crops, converts formats, and applies filters for web and mobile applications.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 11 capabilities
The complete Rendi capability set.
These are the exact actions your AI can choose when you ask it to work with Rendi.
01-04
4 capabilities in this set.
Part of 11 available through Rendi.
- 01
Delete file
Delete a file from Rendi storage
- 02
Get command status
Once completed, it provides the storage URL for output files. Get status of an FFmpeg command
- 03
Get file details
Get details for a stored file
- 04
Get file info
Get metadata and details for a specific file
05-08
4 capabilities in this set.
Part of 11 available through Rendi.
- 05
List commands
List all submitted FFmpeg commands
- 06
List files
List all files in Rendi storage
- 07
Convert video to audio
Quickly convert a video to audio
- 08
Ffprobe
Analyze a media file using ffprobe
09-11
3 capabilities in this set.
Part of 11 available through Rendi.
- 09
Generate thumbnail
Generate a thumbnail from a video
- 10
Run chained ffmpeg commands
Run multiple chained FFmpeg commands
- 11
Run ffmpeg command
Returns a command ID to poll for status. Run a single FFmpeg command in the cloud
Observed, not estimated
871ms average. Fast in production.
Rendi is checked daily against the live service.
- Fastest day
- 742ms
- Slowest day
- 1002ms
- 14-day trend
- Stable-1%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 11 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Rendi, so you can see the experience inside your AI.
It does not authenticate your account with Rendi. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Rendi Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_yLT1nhPB29SIqqpsgoNP1Ev6sJDTpO5q0f2OjGk5/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Rendi capabilities are ready to use.
{
"mcpServers": {
"rendi-mcp": {
"url": "https://edge.vinkius.com/vk_preview_yLT1nhPB29SIqqpsgoNP1Ev6sJDTpO5q0f2OjGk5/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Rendi owners ask.
- 01
Can my AI automatically convert a video file into an MP3 audio track using Rendi?
Yes! Use the run_ffmpeg_command capability with the conversion parameters (e.g., 'ffmpeg -i input.mp4 output.mp3'). Your agent will execute the command in the cloud and return the result URL instantly.
- 02
How do I find my Rendi API Key?
Log in to your Rendi dashboard at rendi.dev, and your unique secret API key will be displayed on the main page or under account settings.
- 03
What is the format for chained FFmpeg commands?
Use the run_chained_ffmpeg_commands capability and provide an array of strings, where each string is a valid FFmpeg command. Rendi will execute them sequentially in a single processing job.
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