How to integrate Synthflow ai MCP with Google ADK

This guide walks you through connecting Synthflow ai to Google ADK using the Composio tool router. By the end, you'll have a working Synthflow ai agent that can create a new ai assistant for customer support, list all current voice assistants in your account, fetch details for team 'sales outreach' through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a Synthflow ai account through Composio's Synthflow ai MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Synthflow ai logoSynthflow ai
Api Key

Synthflow ai is an AI-powered voice automation platform for inbound and outbound customer calls. It boosts engagement and streamlines operational efficiency with conversational voice agents.

79 Tools

Introduction

This guide walks you through connecting Synthflow ai to Google ADK using the Composio tool router. By the end, you'll have a working Synthflow ai agent that can create a new ai assistant for customer support, list all current voice assistants in your account, fetch details for team 'sales outreach' through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Synthflow ai account through Composio's Synthflow ai MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get a Synthflow ai account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Synthflow ai
  • Build an agent that connects to Synthflow ai through MCP
  • Interact with Synthflow ai using natural language

What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.

Key features include:

  • Gemini Integration: Native support for Google's Gemini models
  • MCP Toolset: Built-in support for Model Context Protocol tools
  • Streamable HTTP: Connect to external services through streamable HTTP
  • CLI and Web UI: Run agents via command line or web interface

What is the Synthflow ai MCP server, and what's possible with it?

The Synthflow ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Synthflow ai account. It provides structured and secure access to your voice automation tools, so your agent can perform actions like managing voice assistants, handling teams, retrieving phone numbers, and automating call center operations on your behalf.

  • AI assistant management: Create, list, update, or delete AI-powered voice assistants to tailor customer interactions and automate call flows as needed.
  • Team creation and configuration: Set up new teams, modify existing ones, or remove teams to optimize your call center's routing and operational structure.
  • Knowledge base integration: Retrieve and manage knowledge base details to ensure your assistants have accurate, up-to-date information for conversations.
  • Phone number administration: Fetch and organize phone numbers linked to your workspace, making it easy to assign or reassign numbers for inbound and outbound campaigns.
  • Comprehensive assistant and team insights: Access detailed metadata and configuration for both assistants and teams, streamlining oversight and decision-making for your AI-powered operations.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • A Google API key for Gemini models
  • A Composio account and API key
  • Python 3.9 or later installed
  • Basic familiarity with Python
2

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio and create an API key.
  • Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
  • Log in to the Composio dashboard.
  • Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
  • Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.
3

Install dependencies

bash
pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Synthflow ai via MCP
  • python-dotenv loads environment variables
4

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file
5

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

Save all your credentials in the .env file.

What's happening:

  • GOOGLE_API_KEY authenticates with Google's Gemini models
  • COMPOSIO_API_KEY authenticates with Composio
  • COMPOSIO_USER_ID identifies the user for session management
6

Import modules and validate environment

python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
What's happening:
  • os reads environment variables
  • Composio is the main Composio SDK client
  • GoogleProvider declares that you are using Google ADK as the agent runtime
  • Agent is the Google ADK LLM agent class
  • McpToolset lets the ADK agent call MCP tools over HTTP
7

Create Composio client and Tool Router session

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["synthflow_ai"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
What's happening:
  • Authenticates to Composio with your API key
  • Declares Google ADK as the provider
  • Spins up a short-lived MCP endpoint for your user and selected toolkit
  • Stores the MCP HTTP URL for the ADK MCP integration
8

Set up the McpToolset and create the Agent

python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Synthflow ai operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
What's happening:
  • Connects the ADK agent to the Composio MCP endpoint through McpToolset
  • Uses Gemini as the model powering the agent
  • Lists exact tool names in instruction to reduce misnamed tool calls
9

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.

What's happening:

  • adk run runs the agent in CLI mode
  • adk web . opens a web UI for interactive testing

Complete Code

Here's the complete code to get you started with Synthflow ai and Google ADK:

python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["synthflow_ai"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Synthflow ai operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")

Conclusion

You've successfully integrated Synthflow ai with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Synthflow ai using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Synthflow ai tools
  • Environment variables keep your credentials secure and separate from code
  • Clear agent instructions reduce tool calling errors
  • The ADK web UI provides an interactive interface for testing and development

You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

TOOLS

Supported Tools

Every Synthflow ai action and event your agent gets out of the box.

Add document to knowledge base source

Tool to add a document to a knowledge base source.

Attach Actions to Agent

Tool to attach one or more actions to an agent.

Attach contact to memory store

Tool to attach a contact to a memory store.

Attach knowledge base to agent

Tool to attach a knowledge base to an agent.

Attach memory store to agent

Tool to attach a memory store to an agent.

Create Action

Tool to create a new action in Synthflow AI.

Create Assistant

Tool to create a new assistant.

Create a contact

Tool to create a new contact in Synthflow AI.

Create knowledge base

Tool to create a new knowledge base and return its ID.

Create memory store

Tool to create a new memory store.

Create Phone Book

Tool to create a new phone book.

Create phone book entry

Tool to create a phone book entry.

Create Simulation Case

Tool to create a new simulation case.

Create a simulation scenario

Tool to create a new simulation scenario.

Create a new simulation suite

Tool to create a new simulation suite attached to a specific agent.

Create a new team

Tool to create a new team.

Delete an action

Tool to delete an existing action.

Delete an assistant

Tool to delete an existing AI assistant.

Delete a chat session

Tool to delete a chat session.

Delete a contact

Tool to delete an existing contact.

Delete knowledge base

Tool to delete an existing knowledge base.

Delete a knowledge base source

Tool to delete a source from a knowledge base.

Delete a memory store

Tool to delete a memory store.

Delete a phone book

Tool to delete an existing phone book.

Delete a phone book entry

Tool to delete a phone book entry.

Delete a simulation case

Tool to delete a simulation case by ID.

Delete a simulation scenario

Tool to delete an existing simulation scenario.

Delete a simulation suite

Tool to delete a simulation suite by ID.

Delete a subaccount

Tool to delete an existing subaccount.

Delete a team

Tool to delete an existing team.

Detach actions from assistant

Tool to detach one or more actions from an AI assistant.

Detach knowledge base

Tool to detach a knowledge base from an AI assistant.

Detach contact from memory store

Tool to detach a contact from a memory store.

Detach memory store from agent

Tool to detach a memory store from an agent.

Execute simulation suite

Tool to execute all test cases in a simulation suite.

Export analytics data

Tool to export analytics data for calls within a specified date range.

Get action metadata

Tool to retrieve metadata about a specific action by its ID.

Get AI assistant details

Tool to retrieve details of a specific AI assistant.

Get phone call details

Tool to retrieve the transcript and detailed metadata for a specific phone call.

Get contact details

Tool to retrieve details of a specific contact by its ID.

Get knowledge base

Tool to retrieve details of a specific knowledge base by its ID.

Get memory store

Tool to retrieve details of a specific memory store by its ID.

Get memory store contact data

Tool to retrieve memory data for a specific contact in a memory store.

Get phone numbers

Tool to retrieve a list of phone numbers associated with a workspace.

Get simulation details

Tool to retrieve details of a specific simulation by ID.

Get Simulation Case

Tool to retrieve a simulation case by ID.

Get simulation scenario

Tool to retrieve a simulation scenario by ID.

Get simulation suite by ID

Tool to retrieve a simulation suite by ID.

Get subaccount details

Tool to retrieve detailed metadata about a specific subaccount by ID.

Get team details

Tool to retrieve details of a specific team by its ID.

Initialize Action

Tool to initialize a custom action with specified variables.

List actions

Tool to list all actions in the workspace.

List AI assistants

Tool to list all AI assistants associated with the account.

List call history

Tool to retrieve call history (call logs) with filtering to check outcomes/statuses after placing calls.

List chats

Tool to retrieve a list of chats, optionally filtered by agent ID.

List contacts

Tool to retrieve a list of contacts with optional search filtering.

List memory stores

Tool to list memory stores with optional filtering by title.

List Phone Books

Tool to list all phone books in your workspace.

List Simulation Cases

Tool to list simulation cases with pagination and optional filtering by name or type.

List simulation cases by agent

Tool to list all simulation cases created for a specific agent.

List simulations

Tool to list simulations with pagination and optional filters.

List simulation scenarios

Tool to list simulation scenarios with pagination and optional filtering.

List simulation sessions

Tool to list simulation sessions with pagination and optional filters.

List simulation suites

Tool to list simulation suites with pagination and optional filtering.

List subaccounts

Tool to list all subaccounts associated with the authenticated account.

List teams

Tool to list assistant teams.

List voices

Tool to list all text-to-speech voices in a workspace.

List webhook logs

Tool to retrieve paginated webhook logs with filtering and search capability.

Make a voice call

Tool to initiate a real-time voice call via the AI agent.

Start Simulation

Tool to start a new simulation using a simulation case.

Update Action

Tool to update an existing action in Synthflow AI.

Update Assistant

Tool to update an existing assistant’s settings.

Update a contact

Tool to update an existing contact in Synthflow AI.

Update knowledge base

Tool to update an existing knowledge base's name or usage conditions.

Update memory store

Tool to update an existing memory store's title and description.

Update Simulation Case

Tool to update an existing simulation case.

Update a simulation scenario

Tool to update an existing simulation scenario.

Update an existing simulation suite

Tool to update an existing simulation suite.

Update an existing team

Tool to update an existing team.

FAQ

Frequently asked questions

With a standalone Synthflow ai MCP server, the agents and LLMs can only access a fixed set of Synthflow ai tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Synthflow ai and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Synthflow ai tools.

Yes, absolutely. You can configure which Synthflow ai scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Synthflow ai data and credentials are handled as safely as possible.

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