How to Use the Alai MCP in Claude Code

Q: How do I connect the Alai MCP Server to Claude Code?

Run the claude mcp add command with your transport flags and the server URL. The configuration gets saved instantly to your local settings file.

Q: How do I debug Alai connection issues in Claude Code?

Ask the CLI to run checkgetalaistatus. The terminal outputs the raw API response, letting you confirm if the endpoint is reachable.

Q: Can I list available styles from the command line?

Just prompt the terminal to show the options. It calls listtemplates and prints the available portrait styles directly to your standard output.

Automate marketing asset creation and campaign management directly from your terminal with Claude Code.

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Connect Alai MCP to Claude Code

Create your Vinkius account to connect Alai 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 Alai with Claude Code

Ask AI about this MCP

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Claude

Perplexity

Headless campaign initialization

Firing up a browser to click through a marketing dashboard wastes time. You can script the entire workspace setup right from your command line. A single prompt tells your terminal client to execute `create_campaign` with your specific parameters. It then pipes the resulting campaign IDs directly into your deployment scripts.

CI/CD pipeline integration via MCP

Generating fresh team headshots should be part of your build process. This MCP Server exposes the rendering engine to your automated workflows. Your GitHub Actions runner triggers `generate_content` when a new employee selfie is committed. The script polls `get_generation` until completion, then uses `create_asset` to push the final portrait to your CDN.

Terminal-based asset cleanup

Maintaining a clean database of generated media usually requires tedious manual auditing. Now you handle it with a quick shell command. Tell your terminal agent to find orphaned files using `list_assets`. It identifies the stale records and fires off `delete_asset` for each one, keeping your storage costs down without leaving the CLI.

Setup guide

Set up Alai 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 alai-mcp with a green status indicator.
3

Start using tools

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

Terminal

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

Get your connection token →

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Common questions about Alai MCP in Claude Code

Run the `claude mcp add` command with your transport flags and the server URL. The configuration gets saved instantly to your local settings file.

Yes. You can set up a scheduled task that triggers the terminal client to fetch new campaign data or process pending headshot generations.

Ask the CLI to run `check_getalai_status`. The terminal outputs the raw API response, letting you confirm if the endpoint is reachable.

Your terminal only transmits the specific image files and campaign parameters required for the endpoints. Environment variables and unrelated shell history stay strictly local.

Just prompt the terminal to show the options. It calls `list_templates` and prints the available portrait styles directly to your standard output.

Use it with your favorite AI tools

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