How to Use the Claid AI MCP in Claude Code

Run headless image processing commands in Claude Code with Claid AI for your CI/CD pipelines.

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Connect Claid AI MCP to Claude Code

Create your Vinkius account to connect Claid AI 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 Claid AI with Claude Code

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Execute image tasks in Claude Code

Use `enhance_image` as part of your shell script or build pipeline. It allows for complex image transformations without requiring a GUI. This is ideal for automated asset generation. You can trigger it from your terminal whenever your build process needs new images.

Retrieve task status in Claude Code

Use `get_processing_task_details` to check if your image job finished. This is perfect for CLI scripts that need to wait for a result before proceeding. It keeps your pipeline moving by confirming completion. You won't have to poll the server manually.

List webhooks in Claude Code

The `list_claid_webhooks` tool lets you view your notification settings from the terminal. It ensures you know where your async responses are going. This is vital for debugging your automated workflows. You get immediate visibility into your configuration without needing a browser.

Setup guide

Set up Claid 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 claid-ai-mcp with a green status indicator.
3

Start using tools

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

Terminal

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

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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 Claid 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": {
    "claid-ai-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Why Choose Vinkius

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Common questions about Claid AI MCP in Claude Code

Use the command line to add the server with the transport flag. Once configured, you can call the tools directly from your terminal prompt.

Absolutely, it works perfectly for headless tasks. You can chain the tools in your scripts to build custom image processing pipelines.

Yes, you can automate image cleanup or upscaling within your deployment scripts. It handles the API interaction while you focus on the logic.

All requests are made over secure connections. We do not cache your images or account data in our environment, ensuring your privacy is maintained.

The server only interacts with the image files you pass to the tools and your API account metadata. No other system data is ever accessed or stored.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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