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Connect DataRobot to ChatGPT, Claude and Gemini

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. Control your machine learning lifecycle 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 · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through DataRobot.

  1. 01

    List datasets

    This capability lists all available datasets in your DataRobot account.

  2. 02

    Get project

    This capability fetches the full details and nested elements of a specific project.

  3. 03

    List models

    This capability provides a list of models within your workspace.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through DataRobot.

  1. 04

    List projects

    Use this to see all projects currently in your DataRobot environment.

  2. 05

    Get model

    Use this to pull specific details and properties for a single model.

  3. 06

    List deployments

    This capability retrieves a list of all current deployments.

Real work

What teams actually run

01

Model Comparison

Compare validation scores of different models within a single project to pick the best candidate.

02

Deployment Audits

Check the health and cloud location of active production deployments.

03

Data Validation

Verify that the datasets used in training match your expected logical bounds.

04

Workspace Management

Quickly list and organize projects and models without manual navigation.

Automate a task

Put DataRobot 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

DataRobot 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 DataRobot 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

840ms average. Fast in production.

DataRobot is checked daily against the live service.

Daily averagePeak 1054ms
Oct 3Today
Fastest day
684ms
Slowest day
1054ms
14-day trend
Slowing+8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive 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 DataRobot, so you can see the experience inside your AI.

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

DataRobot Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_WX1YGmPzxHEF3itbazDacfMS9v73zZdwIlCWtf4z/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 — DataRobot capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "datarobot-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_WX1YGmPzxHEF3itbazDacfMS9v73zZdwIlCWtf4z/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 DataRobot in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work DataRobot owners hand off.

This MCP is built for technical teams managing automated machine learning lifecycles.

  • 01

    Data Scientists

    They use the agent to compare training metrics across different projects.

  • 02

    ML Engineers

    They use the agent to audit deployments and verify configurations in real time.

  • 03

    Data Platform Teams

    They use the agent to monitor dataset usage and model metadata across the organization.

FAQ

Questions DataRobot owners ask.

  • 01

    How do I connect DataRobot to my AI client?

    You subscribe to the MCP on Vinkius and enter your DataRobot API Key and Endpoint URL. Once connected, you can use it in any MCP-compatible client.

  • 02

    Which AI clients can use this MCP?

    You can use this MCP with Claude, Cursor, Windsurf, VS Code, or any other MCP-compatible client.

  • 03

    Can I check model performance through the chat?

    Yes, your agent can retrieve raw training metrics and specific model properties directly.

  • 04

    Where do I find my DataRobot API credentials?

    You can find your API Key and Endpoint URL in your DataRobot account under Profile and then API Keys.

  • 05

    Does this MCP support deployment management?

    Yes, you can list deployments and trace the configurations of nodes deployed into the cloud.

  • 06

    Can my agent list all models within a specific DataRobot project?

    Yes. Use the 'list_models' capability and provide the project ID. The agent will enumerate the explicit bounded layers and AI configurations stored directly in the DataRobot platform, allowing you to compare models through the chat.

  • 07

    How do I retrieve training metrics for a specific model via chat?

    Provide the project ID and model ID to the 'get_model' capability. Your agent will retrieve the discrete logical properties and natively export raw training metrics within your mapped ML structures accurately.

  • 08

    Can I monitor active cloud deployments through the agent?

    Absolutely. Use the 'list_deployments' capability. Your agent will intercept precise global configurations tracing executed DataRobot nodes deployed natively into scalable clouds, giving you real-time visibility into your production AI.

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