Skill

datarobot-automation

Automates DataRobot operations via Composio toolkit and Rube MCP. Discovers tools with RUBE_SEARCH_TOOLS, manages connections via RUBE_MANAGE_CONNECTIONS, and executes with RUBE_MULTI_EXECUTE_TOOL.

ai-ml

automation

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Tool Access

This skill uses the workspace's default tool permissions.

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

SKILL.md

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Last CommitMar 29, 2026

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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

Operation	Approach
Find tools	`RUBE_SEARCH_TOOLS` with Datarobot-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `datarobot`
Execute	`RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs
Bulk ops	`RUBE_REMOTE_WORKBENCH` with `run_composio_tool()`
Full schema	`RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef`