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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Modelbit with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Deploy and call machine learning models directly from your AI agent using Modelbit's inference endpoints.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 1 capability

The complete Modelbit capability set.

These are the exact actions your AI can choose when you ask it to work with Modelbit.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Modelbit.

  1. 01

    Get inference

    Use this to pass data to your ML models and receive the computed output. Call a deployed Modelbit machine learning model

Observed, not estimated

848ms average. Fast in production.

Modelbit is checked daily against the live service.

Daily averagePeak 1025ms
Aug 21Today
Fastest day
691ms
Slowest day
1025ms
14-day trend
Improving-23%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Modelbit, so you can see the experience inside your AI.

It does not authenticate your account with Modelbit. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Modelbit Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_U02S7R70GaoTP6dztOIIMDtmgDyuN2GTH3Or66r0/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Modelbit capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "modelbit-ml-model-deployments-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_U02S7R70GaoTP6dztOIIMDtmgDyuN2GTH3Or66r0/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Modelbit owners ask.

  • 01

    Can I specify which version of a model to use for inference?

    Yes. When using the get_inference capability, you can provide an optional version string (e.g., 'v1', 'latest', or a specific tag) to target a precise deployment.

  • 02

    What format should the input data be in?

    The get_inference capability accepts a data parameter which should be a JSON object or array, matching the input schema expected by your Modelbit deployment.

  • 03

    Is an API Key required for all models?

    The MODELBIT_API_KEY is optional. It is only required if your Modelbit deployment is private. Public deployments only require the MODELBIT_WORKSPACE name.

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