MCP For Claude Marketplace
DataRobot

DataRobot MCP Connector for Claude

A+

Manage AutoML via DataRobot — monitor projects and models, track deployments, and audit ML datasets directly from any AI agent.

6 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your DataRobot account to any AI agent and take full control of your automated machine learning and AI lifecycle management through natural conversation.

What you can do

  • Project & Workspace Auditing — List and retrieve exact nested elements from DataRobot projects to identify physical boundaries isolated in your workspace
  • Model Performance Monitoring — Enumerate explicit bounded layers and retrieve discrete logical properties natively exporting raw training metrics
  • Deployment Management — Intercept precise global configurations tracing executed DataRobot nodes deployed natively into scalable clouds
  • Dataset Extraction — Inspect raw metrics executing global data extractions routing exact DataRobot bounds securely mapped logically
  • ML Lifecycle Oversight — Monitor AI configurations stored directly in current platforms and audit specific model versioning

How it works

  1. Subscribe to this server
  2. Enter your DataRobot API Key and Endpoint URL (found in Profile > API Keys)
  3. Start managing your AutoML workflows from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Data Scientists — monitor model performance and compare training metrics across projects without leaving the chat
  • ML Engineers — audit deployments and verify AI configurations in real-time using natural language
  • Data Platform Teams — monitor project-wide dataset usage and model metadata across the organization
  • AI Researchers — quickly retrieve discrete logical properties from experiment models during the prototyping phase
automlml-lifecyclemodel-deploymentpredictive-analyticsmodel-monitoringdata-science

6 tools expose this connector's capabilities to your AI agent.

list_projects

List projects

get_project

Get project

list_models

List models

get_model

Get model

list_deployments

List deployments

list_datasets

List datasets

See how to talk to your AI agent using DataRobot.

List all projects in my DataRobot workspace

I found 4 projects: 'Churn-Analysis-v1', 'Predictive-Maintenance-POC', 'Sales-Forecasting-2024', and 'Fraud-Detection-Staging'. Which one would you like to inspect?

Show me the top models for project 'abc-123'

Retrieving models for project 'abc-123'... I found 5 models including 'Random Forest Regressor' (Validation score: 0.92) and 'XGBoost Classifier' (Validation score: 0.89). Would you like to see the detailed metrics for the top model?

List all active deployments in production

I found 2 active deployments: 'Production-Pricing-Engine' (Healthy) and 'Realtime-Fraud-Scanner' (Healthy). Both are running on AWS nodes and processing live requests.

Yes. Use the 'list_models' tool 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.

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