How to integrate Avoma MCP with Google ADK

This guide walks you through connecting Avoma to Google ADK using the Composio tool router. By the end, you'll have a working Avoma agent that can summarize yesterday's customer call notes, find meetings needing follow-up emails, review sales scorecards from this week through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a Avoma account through Composio's Avoma MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Get started for free Get a demo

Avoma

Api Key

Avoma is an AI meeting assistant for recording, transcribing, analyzing, and managing meetings, calls, notes, scorecards, and conversation intelligence. It helps teams turn conversations into searchable notes, follow-ups, coaching insights, and revenue intelligence.

16 Tools

Managed auth

Connect Avoma without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

Try for free

Introduction

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

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

Also integrate Avoma with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Get a Avoma account set up and connected to Composio
Install the Google ADK and Composio packages
Create a Composio Tool Router session for Avoma
Build an agent that connects to Avoma through MCP
Interact with Avoma 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 Avoma MCP server, and what's possible with it?

The Avoma MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Avoma account. It provides structured and secure access to your meetings, calls, transcripts, notes, recordings, and conversation intelligence, so your agent can find meetings, retrieve transcripts, review AI insights, analyze engagement, and inspect scorecard evaluations on your behalf.

Meeting and call discovery: Have your agent find meetings and externally recorded calls by date, attendee, direction, CRM details, call type, privacy context, or duration.
Transcripts, notes, and snippets: Let the agent retrieve full meeting transcripts, review notes in JSON, HTML, or Markdown, and find user-created or AI-generated snippets.
Conversation analysis: Direct your agent to review AI insights, topics, speaker segments, sentiment records, and recording access for processed meetings.
Engagement and coaching insights: Instruct your agent to summarize team engagement metrics and inspect scorecard evaluations by date, meeting, scorecard, or evaluated user.
Call ingestion and workspace review: Have your agent submit externally hosted call recordings for processing, check their status, list visible users and configuration catalogs, or audit active webhook subscriptions.

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:

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

Step-by-step Guide

Step by step09 STEPS

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

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.

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 Avoma via MCP
python-dotenv loads environment variables

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

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

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

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=["avoma"],
)

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

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 Avoma 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

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 Avoma 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=["avoma"],
)

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 Avoma operations."
    ),  
    tools=[composio_toolset],
)

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

Conclusion

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

Key takeaways:

The Tool Router approach dynamically routes requests to the appropriate Avoma 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 Avoma action and event your agent gets out of the box.

Create Call

Submit an externally hosted call recording to Avoma for asynchronous processing.

Get Call

Retrieve one externally ingested Avoma call by the dialer system's external ID.

Get Engagement Summary

Aggregate Avoma engagement metrics across visible users for a required UTC date range and optional meeting and user filters.

Get Meeting

Retrieve one meeting by UUID, including processing/readiness state and optionally CRM associations.

Get Meeting Analysis

Return Avoma's AI insights, topical and speaker segments, and sentiment records for one processed meeting in a single read-only invocation.

Get Recording

Get time-limited audio and video URLs for a meeting recording.

List Calls

List externally ingested calls in a required UTC date range, optionally filtered by inbound or outbound direction.

List Configuration Resources

List one Avoma configuration catalog: custom categories, smart categories, scorecards, templates, meeting types, or meeting outcomes.

List Engagement Metrics

List per-user Avoma engagement metrics over a required UTC date range with meeting and user filters.

List Meetings

Find meetings visible to the connected Avoma user within a required UTC date range, with optional attendee, CRM, call-type, privacy-context, duration, and ordering filters.

List Notes

Retrieve Avoma notes for meetings in a required UTC date range, optionally narrowed to a meeting or custom category and rendered as JSON, HTML, or Markdown.

List Scorecard Evaluations

List Avoma scorecard evaluations, optionally filtered by UTC date range, scorecard templates, meeting, or evaluated users.

List Snippets

Find user-created or AI-generated meeting snippets by meeting UUID or by a UTC date range of at most 180 days.

List Transcriptions

Find full meeting transcriptions by meeting UUID or by a UTC date range, with attendee and CRM filters.

List Users

Return users visible in the Avoma organization, including their UUID, email, role, teams, and active status.

List Webhooks

Audit the connected organization's active Avoma webhook subscriptions without reading signing secrets.

FRAMEWORKS

How to build Avoma MCP Agent with another framework

OpenAI Agents SDK

Use Avoma MCP with OpenAI Agents SDK

Claude Agent SDK

Use Avoma MCP with Claude Agent SDK

Claude Code

Use Avoma MCP with Claude Code

Claude Cowork

Use Avoma MCP with Claude Cowork

Codex

Use Avoma MCP with Codex

OpenClaw

Use Avoma MCP with OpenClaw

Hermes

Use Avoma MCP with Hermes

CLI

Use Avoma MCP with CLI

LangChain

Use Avoma MCP with LangChain

Vercel AI SDK

Use Avoma MCP with Vercel AI SDK

Mastra AI

Use Avoma MCP with Mastra AI

LlamaIndex

Use Avoma MCP with LlamaIndex

CrewAI

Use Avoma MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

AltTextLab

Api Key

AltTextLab is an AI service that generates accessible, SEO-aware alt text for images. It helps teams make image content easier to understand, index, and publish.

Apiframe

Api Key

Apiframe is an API platform for generating and managing AI images, videos, music, uploads, assets, jobs, and custom LoRAs. It gives developers one clean API for creative AI workflows without juggling multiple model providers.

Arize AX

Api Key

Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality.

AssemblyAI

Api Key

AssemblyAI is a speech-to-text and audio intelligence API for uploaded or hosted media. Use it to turn audio and video into accurate transcripts, summaries, and insights.

FAQ

Frequently asked questions

With a standalone Avoma MCP server, the agents and LLMs can only access a fixed set of Avoma tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Avoma 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 Avoma tools.

Yes, absolutely. You can configure which Avoma 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 Avoma data and credentials are handled as safely as possible.

Start with Avoma.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Avoma tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Avoma MCP with Google ADK

Connect Avoma without auth hassles

Introduction

Also integrate Avoma with

TL;DR

What is Google ADK?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for Google and Composio

Install dependencies

Set up ADK project

Set environment variables

Import modules and validate environment

Create Composio client and Tool Router session

Set up the McpToolset and create the Agent

Run the agent

Complete Code

Conclusion

Supported Tools

How to build Avoma MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

AltTextLab

Apiframe

Arize AX

AssemblyAI

Frequently asked questions

What are the differences in Tool Router MCP and Avoma MCP?+

Can I use Tool Router MCP with Google ADK?+

Can I manage the permissions and scopes for Avoma while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Avoma.It takes 30 seconds.

Teams ship real agents on Composio