DataRobot MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect DataRobot through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install DataRobot and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"datarobot": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About DataRobot MCP Server
Connect your DataRobot account to any AI agent and take full control of your automated machine learning and AI lifecycle management through natural conversation.
Windsurf's Cascade agent chains multiple DataRobot tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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
The DataRobot MCP Server exposes 6 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DataRobot to Windsurf via MCP
Follow these steps to integrate the DataRobot MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using DataRobot
Open Cascade and ask: "Using DataRobot, help me...". 6 tools available
Why Use Windsurf with the DataRobot MCP Server
Windsurf provides unique advantages when paired with DataRobot through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
DataRobot + Windsurf Use Cases
Practical scenarios where Windsurf combined with the DataRobot MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from DataRobot and generate models, types, or handlers based on real API responses
Live debugging: query DataRobot tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from DataRobot and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine DataRobot data with Cascade's code generation to scaffold entire features in minutes
DataRobot MCP Tools for Windsurf (6)
These 6 tools become available when you connect DataRobot to Windsurf via MCP:
get_model
Get model
get_project
Get project
list_datasets
List datasets
list_deployments
List deployments
list_models
List models
list_projects
List projects
Example Prompts for DataRobot in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with DataRobot immediately.
"List all projects in my DataRobot workspace"
"Show me the top models for project 'abc-123'"
"List all active deployments in production"
Troubleshooting DataRobot MCP Server with Windsurf
Common issues when connecting DataRobot to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
DataRobot + Windsurf FAQ
Common questions about integrating DataRobot MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect DataRobot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DataRobot to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.