Use DataRobot with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage AutoML via DataRobot. monitor projects and models, track deployments, and audit ML datasets directly from any AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 6 capabilities
The complete DataRobot capability set.
These are the exact actions your AI can choose when you ask it to work with DataRobot.
01-03
3 capabilities in this set.
Part of 6 available through DataRobot.
- 01
List datasets
List datasets
- 02
Get model
Get model
- 03
List deployments
List deployments
04-06
3 capabilities in this set.
Part of 6 available through DataRobot.
- 04
Get project
Get project
- 05
List models
List models
- 06
List projects
List projects
Observed, not estimated
821ms average. Fast in production.
DataRobot is checked daily against the live service.
- Fastest day
- 636ms
- Slowest day
- 1004ms
- 14-day trend
- Slowing+22%
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.
https://edge.vinkius.com/vk_preview_WX1YGmPzxHEF3itbazDacfMS9v73zZdwIlCWtf4z/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — DataRobot capabilities are ready to use.
{
"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
FAQ
Questions DataRobot owners ask.
- 01
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.
- 02
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.
- 03
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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