
Retellai Automation
- 5 installs
- 71.8k repo stars
- Updated July 24, 2026
- composiohq/awesome-claude-skills
Automates Retell AI voice-agent tasks through Rube MCP (Composio) after connecting the retellai toolkit.
About
A Rube MCP skill that drives Composio's Retell AI toolkit to automate voice-agent operations. A developer uses it to manage Retell AI from an agent after connecting via Rube MCP.
- Always call RUBE_SEARCH_TOOLS first to load current tool schemas
- Requires an ACTIVE retellai connection via RUBE_MANAGE_CONNECTIONS
Retellai Automation by the numbers
- 5 all-time installs (skills.sh)
- Ranked #13,046 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 5 |
|---|---|
| repo stars | ★ 71.8k |
| Last updated | July 24, 2026 |
| Repository | composiohq/awesome-claude-skills ↗ |
What it does
Automates Retell AI voice-agent tasks through Rube MCP (Composio) after connecting the retellai toolkit.
Files
Retellai 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_CONNECTIONSwith toolkitretellai - Always call
RUBE_SEARCH_TOOLSfirst 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 retellai 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: "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_CONNECTIONSshows ACTIVE status before executing tools - Schema compliance: Use exact field names and types from the search results
- Memory parameter: Always include
memoryinRUBE_MULTI_EXECUTE_TOOLcalls, 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 Retellai-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit retellai |
| 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 |
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