Modelry Automation

What This Skill Does

This skill automates interactions with the Modelry platform using Composio's Modelry toolkit through Rube MCP. It enables users to discover available tools, manage connections, and execute Modelry operations. This is designed for data scientists and machine learning engineers who want to automate Modelry tasks.

When to Use

• Discover available Modelry tools.
• Check the status of the Modelry connection.
• Deploy machine learning models using Modelry.
• Monitor model performance with Modelry.
• Manage Modelry resources.
• Automate Modelry workflows.

Key Features

• Automates Modelry operations via Rube MCP.
• Uses RUBE_SEARCH_TOOLS to discover available tools.
• Manages connections using RUBE_MANAGE_CONNECTIONS.
• Executes tools with RUBE_MULTI_EXECUTE_TOOL.
• Requires active Modelry connection.
• Provides toolkit documentation for reference.

Manual Installation

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

Toolkit docs: composio.dev/toolkits/modelry

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Modelry connection via RUBE_MANAGE_CONNECTIONS with toolkit modelry 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 modelry 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: "Modelry 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 Modelry task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["modelry"] 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

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

Toolkit docs: composio.dev/toolkits/modelry