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Connect Modelbit ML Model Deployments to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run production machine learning models through your AI agent.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Modelbit.

  1. 01

    Get inference

    This capability sends data to your deployed Modelbit machine learning models to receive computed predictions.

Real work

What teams actually run

01

Model Prototyping

Test how a new model version performs by chatting with it directly.

02

Automated Predictions

Let your agent run fraud detection or forecasting models as part of a larger task.

03

Data Science Showcasing

Demonstrate model capabilities to stakeholders using a standard chat interface.

04

Workflow Integration

Add custom ML logic to your existing AI-driven agentic workflows.

Automate a task

Put Modelbit to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Modelbit works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Modelbit to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

816ms average. Fast in production.

Modelbit is checked daily against the live service.

Daily averagePeak 862ms
Oct 13Today
Fastest day
681ms
Slowest day
862ms
14-day trend
Stable+4%

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

Guided setup for Claude? Set up Modelbit in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Modelbit owners hand off.

This MCP is built for technical teams who need to move models from notebooks to interactive agents.

  • 01

    Data Scientists

    Use the chat interface to test and show off model outputs.

  • 02

    ML Engineers

    Connect production models to AI workflows without writing extra glue code.

  • 03

    Product Teams

    Prototype new AI features that rely on proprietary machine learning logic.

FAQ

Questions Modelbit owners ask.

  • 01

    How do I connect my Modelbit models to my AI client?

    You subscribe to the MCP on Vinkius and provide your Modelbit Workspace name. Once connected, your client can use the capabilities to call your deployments.

  • 02

    What kind of models can I use with this MCP?

    You can use any deployed models in your Modelbit workspace, including those built with Python, Scikit-learn, or PyTorch.

  • 03

    Can I use specific versions of my models?

    Yes, you can specify exact model versions or tags like 'latest' to ensure your agent uses the correct deployment.

  • 04

    Do I need to write code to call my models?

    No, once the MCP is connected, your AI agent uses the get_inference capability to handle the communication for you.

  • 05

    Is it possible to use private deployments?

    Yes, you can provide your Modelbit API Key during setup to access your private deployments.

  • 06

    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.

  • 07

    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.

  • 08

    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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