How to Use the DeepInfra (Serverless LLM Inference) MCP in Claude

Q: How do I connect DeepInfra (Serverless LLM Inference) to Claude Desktop?

Open your configuration file at /Library/Application Support/Claude/claudedesktopconfig.json. Add the server command under the mcpServers key and restart the application.

Run serverless inference directly inside Claude Desktop without managing infrastructure or API keys.

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Connect DeepInfra (Serverless LLM Inference) MCP to Claude Desktop

Create your Vinkius account to connect DeepInfra (Serverless LLM Inference) 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 DeepInfra (Serverless LLM Inference) with Claude Desktop

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run open weights via Claude Desktop

The `create_chat_completion` tool feeds prompts directly into hosted models right from your chat interface. You pass an array of messages and a target identifier to get an immediate response. Claude handles the formatting while the server routes the execution to specialized hardware. This setup bypasses local compute limits entirely.

Generate assets and vectors instantly

Calling the `generate_image` tool turns text inputs into visual outputs without leaving the conversational window. You type a prompt, and the agent pulls the rendered file back into the thread. The `create_embedding` tool works similarly for text processing tasks. Feed raw paragraphs to the MCP Server, and it returns the high-dimensional arrays you need for semantic search.

Execute custom model architectures

The `run_native_inference` tool handles specialized tasks like speech-to-text or optical character recognition that standard endpoints reject. You target specific private deployments or non-standard architectures directly. This operation supports video generation and other complex outputs natively. Your agent passes the raw payload, and the remote infrastructure processes the heavy lifting.

Setup guide

Set up DeepInfra (Serverless LLM Inference) 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 DeepInfra (Serverless LLM Inference) 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 DeepInfra (Serverless LLM Inference) 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 deepinfra-serverless-llm-inference-mcp.

json

{
  "mcpServers": {
    "deepinfra-serverless-llm-inference-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 DeepInfra. 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 DeepInfra (Serverless LLM Inference) MCP in Claude Desktop

Open your configuration file at ~/Library/Application Support/Claude/claude_desktop_config.json. Add the server command under the mcpServers key and restart the application.

Yes. The agent calls the image generation tool when you ask for visuals. It passes your prompt to the remote hardware and returns the final asset.

You target any identifier supported by the platform. The chat completion tool accepts standard strings like deepseek-ai/DeepSeek-V3.

No. All computation happens on remote hardware. The MCP server acts as a routing layer between your client and the hosted infrastructure.

This integration only transmits the specific text messages, image prompts, or native payloads you explicitly send to the tools. Vinkius runs the routing layer in a V8 Isolate Sandbox, ensuring your inputs disappear the moment the inference task completes.

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