Retellai Automation

What This Skill Does

This skill automates operations within Retellai using Composio's Retellai toolkit via Rube MCP. It is designed for users who want to streamline and automate their AI-powered workflows, such as analyzing data, generating insights, and automating tasks based on AI predictions, all through a unified interface.

When to Use

Automate data analysis tasks. Generate AI-driven insights. Automate tasks based on AI predictions. Trigger actions based on AI results. Manage Retellai connections. Discover available Retellai tools.

Key Features

Automates Retellai tasks via Rube MCP. Uses Composio's Retellai toolkit. Requires an active Retellai connection. Discovers available tools using RUBE_SEARCH_TOOLS. Checks connection status via RUBE_MANAGE_CONNECTIONS. Executes tools using RUBE_MULTI_EXECUTE_TOOL.

Manual Installation

Manual installationView Full Skill ContentThe complete markdown content that gets installedRetellai Automation via Rube MCP

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

Toolkit docs: composio.dev/toolkits/retellai

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["retellai"] 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

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