Synthflow AI Automation

What This Skill Does

This skill automates operations within the Synthflow AI platform using Composio's Synthflow AI toolkit via Rube MCP. It is designed for users who need to streamline AI model creation, deployment, and management. The skill ensures that all operations are performed with the most up-to-date tool schemas.

When to Use

Create new AI models Deploy AI models to production Manage AI model versions Retrieve AI model performance metrics Update AI model configurations Automate AI model training

Key Features

• Automates Synthflow AI tasks via Rube MCP.
• Uses Composio's Synthflow AI toolkit.
• Requires active Synthflow AI connection.
• Discovers tools using RUBE_SEARCH_TOOLS.
• Checks connection status via RUBE_MANAGE_CONNECTIONS.
• Executes tools using RUBE_MULTI_EXECUTE_TOOL.

Automate Synthflow AI operations through Composio's Synthflow AI toolkit via Rube MCP. Toolkit docs: composio.dev/toolkits/synthflow_ai

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["synthflow_ai"] 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