DataRobot MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DataRobot through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"datarobot": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "DataRobot Agent",
instructions:
"You help users interact with DataRobot " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with DataRobot?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and DataRobot tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the DataRobot MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from DataRobot via MCP
Why Use Mastra AI with the DataRobot MCP Server
Mastra AI provides unique advantages when paired with DataRobot through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DataRobot without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every DataRobot tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
DataRobot + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the DataRobot MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query DataRobot, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed DataRobot as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query DataRobot on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using DataRobot tools alongside other MCP servers
DataRobot MCP Tools for Mastra AI (6)
These 6 tools become available when you connect DataRobot to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting DataRobot to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDataRobot + Mastra AI FAQ
Common questions about integrating DataRobot MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect DataRobot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.