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Retell AI MCP Server for Google ADKGive Google ADK instant access to 11 tools to Create Voice Agent, Get Agent Config, Get Call Details, and more

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Retell AI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this App Connector for Google ADK

The Retell AI app connector for Google ADK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="retell_ai_alternative_agent",
    instruction=(
        "You help users interact with Retell AI "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)
Retell AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Retell AI MCP Server

Connect your Retell AI account to any AI agent and take full control of your conversational voice orchestration through natural conversation. Retell AI provides a premier platform for building human-like voice agents, and this integration allows you to create agents, initiate phone or web calls, and monitor LLM configurations directly from your chat interface.

Google ADK natively supports Retell AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Agent & Persona Orchestration — List all managed voice agents and retrieve detailed persona metadata, including creating new agents programmatically.
  • Call Lifecycle Management — Initiate and monitor real-time phone or web calls and retrieve detailed call metadata including recordings and transcripts directly from the AI interface.
  • LLM & Brain Control — Access and monitor your Retell LLM configurations to ensure your agents always have the correct logic and knowledge via natural language.
  • Phone Number Intelligence — List available phone numbers to maintain a clear overview of your telephony infrastructure.
  • Operational Monitoring — Track system responses and manage agent settings using simple AI commands to ensure your voice operations are always optimized.

The Retell AI MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Retell AI tools available for Google ADK

When Google ADK connects to Retell AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-ai, conversational-ai, telephony, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_voice_agent

Create a new AI voice agent

get_agent_config

Get details for a voice agent

get_call_details

Get details and transcript for a call

get_llm_details

Get metadata for a response engine

get_phone_number

Get details for a specific phone number

list_recent_calls

List call logs and history

list_retell_llms

List internal response engines

list_retell_numbers

List registered phone numbers

list_voice_agents

List all AI voice agents

start_phone_call

Initiate an outbound phone call

start_web_call

Initialize a browser-based call

Connect Retell AI to Google ADK via MCP

Follow these steps to wire Retell AI into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 11 tools from Retell AI via MCP

Why Use Google ADK with the Retell AI MCP Server

Google ADK provides unique advantages when paired with Retell AI through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Retell AI

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Retell AI tools with BigQuery, Vertex AI, and Cloud Functions

Retell AI + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Retell AI MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Retell AI and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Retell AI tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Retell AI regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Retell AI

Example Prompts for Retell AI in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Retell AI immediately.

01

"List all my voice agents in Retell AI."

02

"Show me all AI voice agents and their call statistics from the last 7 days."

03

"Create a new outbound phone call using the Sales Qualifier agent to contact a prospect."

Troubleshooting Retell AI MCP Server with Google ADK

Common issues when connecting Retell AI to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Retell AI + Google ADK FAQ

Common questions about integrating Retell AI MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.