How to Use the Claid AI MCP in Claude

Q: How do I configure Claid AI on Claude Desktop?

Open your claudedesktopconfig.json file and add the Claid AI MCP server configuration under the mcpServers key. Once you save the file and restart Claude Desktop, the image processing tools are ready to use in your chat window.

Clean up product photos and fix image resolution directly inside Claude Desktop.

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Connect Claid AI MCP to Claude Desktop

Create your Vinkius account to connect Claid AI to Claude Desktop 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 Desktop

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Run Claid AI image edits directly in Claude Desktop

`enhance_image` lets you combine upscaling, background removal, and HDR adjustments in a single chat prompt. When you drop raw product photos into Claude Desktop, your agent uses this tool to clean them up instantly without leaving the chat interface. You don't have to bounce between editing apps to prep your catalog. Claude Desktop handles the background processing calls via this MCP integration and displays the polished visual assets right inside your conversation window.

Track background tasks and collections in real time

`get_processing_task_details` monitors the status of async image processing tasks queueing up on your account. When you process large batches of e-commerce photos, Claude Desktop checks this endpoint to tell you exactly when your high-res files are ready. The agent also runs `list_claid_collections` to organize these processed assets into the correct folders. You get a clear view of your media assets directly in your local desktop workspace.

Manage webhooks and quotas via Claude Desktop

`list_claid_webhooks` pulls your active webhook URLs directly into the desktop app using this MCP Server. If you need to verify how your e-commerce platform receives finished images, Claude Desktop queries this endpoint to confirm your setup. You also call `get_claid_account_info` to check your remaining credits before running a massive batch edit. This keeps your image production pipeline running smoothly without unexpected API limits cutting off your chat session.

Setup guide

Set up Claid AI MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Claid AI MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Claid AI MCP configuration

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

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under claid-ai-mcp.

json

{
  "mcpServers": {
    "claid-ai-mcp": {
      "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 Claid AI. 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 Claid AI MCP in Claude Desktop

Open your claude_desktop_config.json file and add the Claid AI MCP server configuration under the mcpServers key. Once you save the file and restart Claude Desktop, the image processing tools are ready to use in your chat window.

Ask Claude Desktop to upscale multiple images at once to save time. The agent calls `upscale_image_resolution` for each file and tracks the progress using async task IDs.

Webhooks let your agent track async image processing tasks without hanging. Claude Desktop uses `list_claid_webhooks` to ensure your external e-commerce platform gets notified the second an image finishes processing.

The server processes images via URLs or base64 data. Your agent sends the image payload to Claid, runs the requested operations, and returns the optimized image link directly in your chat.

Your product images and account metadata pass through an isolated V8 sandbox on Vinkius. No files are stored permanently on the MCP server, keeping your proprietary catalog assets safe from exposure.

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