How to Use the Modelbit (ML Model Deployments) MCP in Claude Code

Connect Modelbit (ML Model Deployments) to Claude Code for headless model inference in your terminal.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Modelbit (ML Model Deployments) MCP to Claude Code

Create your Vinkius account to connect Modelbit (ML Model Deployments) 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.

GDPR Free for Subscribers

Setup Modelbit (ML Model Deployments) with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Call models from the terminal with Claude Code

Run `get_inference` directly from your command line. This connects your CI/CD pipeline to your model endpoints without a browser. It works in any shell environment. Use it for automated checks during your build process to verify model performance.

Integrate Modelbit in your server-side scripts

Claude Code handles the tool execution as part of a larger script. You can pipe the output of your inference calls to other CLI tools. This makes testing models in production environments simple. Just run the command and inspect the JSON output.

Deploy model-driven workflows with Claude Code

Standardize your inference calls across your team's development machines. This MCP Server ensures every terminal instance uses the same endpoint logic. It removes the need for custom curl scripts. Your agent manages the request lifecycle, ensuring consistent execution every time.

Setup guide

Set up Modelbit (ML Model Deployments) 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 modelbit-ml-model-deployments-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Modelbit (ML Model Deployments) transactions." It will automatically discover and invoke the available Modelbit (ML Model Deployments) tools.

Terminal

claude mcp add --transport http modelbit-ml-model-deployments-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 Modelbit (ML Model Deployments) 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": {
    "modelbit-ml-model-deployments-mcp": {
      "type": "url",
      "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 Modelbit. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Modelbit (ML Model Deployments) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Modelbit (ML Model Deployments) MCP in Claude Code

Run the add command in your terminal using the server URL. Claude Code will register the tools for your next session.

Yes. Since it runs in the terminal, you can script model calls to execute on a schedule. Just verify your API key is available in the environment.

The server supports HTTP and SSE transports. Use the standard flags when you add the server to your configuration.

Use the list command to see all registered tools. You can test the connection by invoking the tool with a test payload.

All requests are encrypted in transit. The server process manages memory locally and does not cache your inference data.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the Modelbit (ML Model Deployments) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started