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How to integrate Thanks io MCP with Google ADK

Connect Google ADK to Thanks io MCP. Add new customer to holiday mailing list, show all available handwritten font styles, and more using natural language, with authentication handled for you.

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Thanks io is a direct mail automation platform for sending personalized postcards, letters, and notecards. Reach your customers offline with scalable, handwritten-style mailings.

29 Tools

Introduction

This guide walks you through connecting Thanks io to Google ADK using the Composio tool router. By the end, you'll have a working Thanks io agent that can send handwritten-style postcards and notecards, manage mailing lists and recipients, preview letters, and track orders through natural language commands.

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

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

Also integrate Thanks io with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentLangChainVercel AI SDKMastra AILlamaIndexCrewAIPydantic AIAutoGen

TL;DR

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

The Thanks io MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Thanks io account. It provides structured and secure access to your direct mail platform, so your agent can perform actions like managing mailing lists, sending personalized postcards, choosing templates, and handling recipients automatically on your behalf.

  • Mailing list management: Effortlessly create, list, or delete mailing lists, and keep your recipient groups organized for targeted campaigns.
  • Recipient automation: Quickly add or remove recipients from mailing lists, ensuring your contacts are always up to date and ready for new mailings.
  • Personalized mail creation: Enable your agent to select from available handwriting styles or image templates, so every postcard, letter, or notecard feels truly unique.
  • Template selection and preview: Browse and choose from message and image templates to customize your direct mail content for any occasion.
  • Automated sending workflows: Trigger stored send actions to deliver mailings at the right moment, keeping your outreach timely and efficient.

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 Thanks io 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=["thanks_io"],
)

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 Thanks io 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 Thanks io 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=["thanks_io"],
)

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 Thanks io operations."
    ),  
    tools=[composio_toolset],
)

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

Conclusion

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

Key takeaways:

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

Add Recipient to Mailing List

Tool to add a new recipient to a mailing list.

Create Mailing List

Tool to create a new mailing list.

Delete Mailing List

Tool to delete a mailing list.

Delete Recipient from Mailing List

Tool to remove a recipient from a mailing list.

Delete Sub-Account

Tool to delete a specific sub-account by ID.

Execute Stored Send

Execute a previously created stored send to trigger delivery.

List Handwriting Styles

Tool to retrieve available handwriting styles.

List Image Templates

Tool to retrieve a list of available image templates.

List Mailing Lists

List mailing lists for the account.

List Message Templates

Tool to list available message templates.

Buy Radius Search Mailing List

Buy a targeted mailing list around a specified address or append results to an existing list, using a requested count of nearest records.

Preview letter send

Request a letter send preview as PDF and return preview URLs.

Preview Notecard

Tool to preview a notecard send.

Preview Windowless Letter

Tool to preview a windowless letter send.

List Orders

Tool to list recent orders.

Search Orders by Recipient Street Address

Search orders by recipient street address, returning a page of matched order items and orders.

Create Multiple Recipients

Create multiple recipients in a mailing list through individual requests.

Delete Recipient by Address

Delete recipients matching an exact street address and postal code across retrieved mailing lists, without requiring their IDs.

Get Recipient Details

Tool to get details for a specific recipient by ID.

Search Recipients by Email

Search recipients by email in specified mailing lists.

Update Recipient

Tool to update existing recipient details by recipient ID.

Send Postcard

Send a customized physical postcard with a chosen image and handwritten message, or request a preview without sending.

Stored Send Notecard

Create a stored send for a personalized notecard and return a URL to execute it later.

Stored Send Postcard

Create a stored send for a postcard and return a URL to finalize and send it later.

Stored Send Windowless Letter

Tool to create a stored send for a windowless letter.

Create Sub-Account

Tool to create a new sub-account.

List Sub Accounts

List up to five sub-accounts for selecting a sub-account context.

Get Sub Account Details

Retrieve details for a specific sub-account by ID, including its name, return address, default envelope and timestamps.

Update Sub-Account

Tool to update details for a specific sub-account.

FRAMEWORKS

How to build Thanks io MCP Agent with another framework

Claude Code logo

Claude Code

Use Thanks io MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Thanks io MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Thanks io MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Thanks io MCP with Claude Agent SDK

Codex logo

Codex

Use Thanks io MCP with Codex

OpenClaw logo

OpenClaw

Use Thanks io MCP with OpenClaw

Hermes logo

Hermes

Use Thanks io MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Thanks io MCP with Atomic Agent

LangChain logo

LangChain

Use Thanks io MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Thanks io MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Thanks io MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Thanks io MCP with LlamaIndex

CrewAI logo

CrewAI

Use Thanks io MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Thanks io MCP with Pydantic AI

AutoGen logo

AutoGen

Use Thanks io MCP with AutoGen

FAQ

Frequently asked questions

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