Datarobot Automation

What This Skill Does

This skill automates Datarobot operations using Composio's Datarobot toolkit via Rube MCP. It's designed for users who want to streamline their Datarobot workflows by programmatically interacting with the platform. The skill ensures proper setup and tool discovery for reliable automation.

When to Use

Automate model deployment Trigger retraining of models Monitor model performance Retrieve prediction results Manage Datarobot projects Schedule automated tasks

Key Features

Uses Rube MCP for Datarobot automation Requires an active Datarobot connection Employs RUBE_SEARCH_TOOLS for tool discovery Checks connection status before execution Uses schema-compliant arguments Provides a core workflow pattern

Manual Installation

Manual installation View Full Skill Content The complete markdown content that gets installed Datarobot Automation via Rube MCP

Automate Datarobot operations through Composio's Datarobot toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/datarobot

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Datarobot connection via RUBE_MANAGE_CONNECTIONS with toolkit datarobot Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit datarobot If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS queries: [{use_case: "Datarobot operations", known_fields: ""}] session: {generate_id: true}

This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.

Core Workflow Pattern

Step 1: Discover Available Tools

RUBE_SEARCH_TOOLS queries: [{use_case: "your specific Datarobot task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["datarobot"] session_id: "your_session_id"

Step 3: Execute Tools

RUBE_MULTI_EXECUTE_TOOL tools: [{ tool_slug: "TOOL_SLUG_FROM_SEARCH", arguments: {/ schema-compliant args from search results /} }] memory: {} session_id: "your_session_id"

Known Pitfalls

Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools Schema compliance: Use exact field names and types from the search results Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({}) Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows Pagination: Check responses for pagination tokens and continue fetching until complete

Quick Reference

Datarobot Automation via Rube MCP

Automate Datarobot operations through Composio's Datarobot toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/datarobot