Aivoov Automation via Rube MCP

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This skill lets your AI automate Aivoov tasks, including text-to-speech workflows, through a connected toolkit. Once added, your AI can handle Aivoov steps for you so you spend less time doing them by hand. It checks the toolkit for current task options before acting, so it works with up-to-date details.

Available today. Use it from your connected AI after setup.

After adding it, ask your AI to search the available Aivoov tools first to see the current options, then describe the Aivoov task you want done.

Then ask your AI: use the Aivoov Automation via Rube MCP skill

What your AI can do with it

  • Automate routine Aivoov tasks
  • Turn text into speech through Aivoov workflows
  • Run text-to-speech steps without manual work
  • Search the connected toolkit for current task options before acting

What this skill tells your AI

The instructions your AI receives, as published by composio-community/awesome-codex-skills in composio-skills/aivoov-automation/SKILL.md and read by ahel’s review.

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

Toolkit docs: composio.dev/toolkits/aivoov

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Aivoov connection via RUBE_MANAGE_CONNECTIONS with toolkit aivoov
  • 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.

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

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS
queries: [{use_case: "Aivoov 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 Aivoov task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["aivoov"]
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

OperationApproach
Find toolsRUBE_SEARCH_TOOLS with Aivoov-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit aivoov
ExecuteRUBE_MULTI_EXECUTE_TOOL with discovered tool slugs
Bulk opsRUBE_REMOTE_WORKBENCH with run_composio_tool()
Full schemaRUBE_GET_TOOL_SCHEMAS for tools with schemaRef

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Last commit
Jul 2026

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Catalog kind
skill
Gateway key
aivoov-automation
Source
github.com/composio-community/awesome-codex-skills