How to Use the GAN.ai MCP in Claude Code

Q: Can I run GAN.ai status checks in a headless CI/CD script?

Yes, Claude Code uses getgenerationstatus to monitor active rendering jobs. You can pipe this output to bash scripts to block deployment until rendering completes.

Q: How do I test the GAN.ai API connection via CLI?

Run verifyapiconnection inside the Claude Code interface to run a quick diagnostic check on your authentication token and network route.

Q: How do I list my active video projects using the MCP Server?

Use listvideoprojects to output a clean list of video templates. Claude Code displays the project names and IDs so you can copy them into your scripts.

Run high-volume video rendering jobs and monitor performance stats directly from your shell with Claude Code.

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Connect GAN.ai MCP to Claude Code

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Setup GAN.ai with Claude Code

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Shell-based batch video generation via MCP Server

`generate_personalized_videos` triggers massive video rendering pipelines directly from the Claude Code command line interface. This is perfect for setting up high-volume automation scripts. You can pipe user databases directly into the CLI tool, letting the agent process thousands of rows and output clean JSON lists of video links.

Headless workspace configuration with Claude Code

`get_workspace_info` retrieves account limits and active configuration details to let Claude Code manage headless rendering environments. This returns active limits and active configuration details to your shell. This allows the CLI agent to verify resource allocations before executing high-volume commands or setting up automated cron jobs.

Terminal-based campaign analytics

`get_video_stats` outputs viewer engagement and completion rates directly to your terminal standard output. This prints impressions, watch time, and click-through rates instantly. Claude Code parses these raw statistics to generate instant performance summaries or pipe the metrics into your log aggregation systems.

Setup guide

Set up GAN.ai 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 ganai-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http ganai-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 GAN.ai 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": {
    "ganai-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about GAN.ai MCP in Claude Code

You run the MCP Server directly from the terminal prompt and call `generate_single_video`. Claude Code formats the parameters, fires the API request, and prints the raw video URL to stdout.

Yes, Claude Code uses `get_generation_status` to monitor active rendering jobs. You can pipe this output to bash scripts to block deployment until rendering completes.

Run `verify_api_connection` inside the Claude Code interface to run a quick diagnostic check on your authentication token and network route.

Use `list_video_projects` to output a clean list of video templates. Claude Code displays the project names and IDs so you can copy them into your scripts.

Your analytics data and user profiles are processed entirely in-memory during the CLI session. The server uses ephemeral connections that do not store any persistent logs on disk.

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