How to Use the Creatomate MCP in Claude Code

Automate video rendering from your terminal with Claude Code.

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Connect Creatomate MCP to Claude Code

Create your Vinkius account to connect Creatomate to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Creatomate with Claude Code

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Trigger renders from the CLI

Terminal users need MCP tools that fit into existing scripts. Claude Code runs `render_video` directly from your prompt, passing dynamic text or image URLs to your templates without opening a browser. You can pipe the output to other terminal commands. Once the job starts, your agent monitors `get_render_status` to grab the final MP4 URL and writes it to a local text file or database.

Inspect Creatomate templates via MCP

Managing a massive library of video assets usually requires a clunky web UI. Now you can type a command and have your agent execute `list_video_templates` to dump the current inventory straight into standard output. If you need to update a specific overlay, Claude Code runs `search_templates_by_name` to find it. It then calls `get_template_details` to expose the JSON structure so you can modify the payload in your CI/CD pipeline.

Track rendering jobs and automations

SREs and DevOps engineers can monitor video generation queues directly from an SSH session. Your agent pulls `list_recent_renders` to check for failed jobs or stalled queues across the workspace. To audit your current setup, Claude Code uses `list_video_automations` and `get_project_settings`. Reading the raw configuration data helps you debug why a specific automated workflow might be failing in production.

Setup guide

Set up Creatomate MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see creatomate-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Creatomate transactions." It will automatically discover and invoke the available Creatomate tools.

Terminal

claude mcp add --transport http creatomate-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Creatomate MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "creatomate-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Creatomate. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Creatomate MCP in Claude Code

Run the add command with the HTTP transport flag and your Vinkius URL. Make sure to place all flags before the server name. Verify the connection by listing your active tools.

Yes. You can run the CLI in headless mode during your CI/CD pipeline. It will trigger a video render, wait for the status, and inject the final URL into your build artifacts.

The agent polls the status endpoint until the job finishes. If the API returns an error, the CLI outputs the exact failure reason to your terminal or logs it to your monitoring system.

Your agent lists all media assets directly from the command line. It grabs the file IDs and uses them to populate dynamic image fields in your video templates.

Vinkius manages authentication at the edge so your terminal never stores raw API keys. Your project settings, template metadata, and render histories pass through an ephemeral, isolated environment that self-destructs after every command.

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