How to integrate Landbot MCP with Google ADK

This guide walks you through connecting Landbot to Google ADK using the Composio tool router. By the end, you'll have a working Landbot agent that can list all active bots in your account, find customer details by phone number, show all whatsapp message templates through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a Landbot account through Composio's Landbot MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Landbot is a no-code chatbot builder for creating interactive conversations on web and messaging apps. It helps businesses automate customer engagement, lead generation, and support without code.

13 Tools

Introduction

This guide walks you through connecting Landbot to Google ADK using the Composio tool router. By the end, you'll have a working Landbot agent that can list all active bots in your account, find customer details by phone number, show all whatsapp message templates through natural language commands.

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

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

Also integrate Landbot with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLILangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

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

The Landbot MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Landbot account. It provides structured and secure access to your Landbot bots, agents, channels, customers, and WhatsApp templates, so your agent can perform actions like listing bots, retrieving customer details, managing agents, and more on your behalf.

  • Bot management and discovery: Instantly list all your Landbot bots or remove unused ones, making it easy to oversee and streamline your chatbot fleet.
  • Customer insights and lookup: Retrieve customer records or pull up detailed profiles by phone number, letting your agent surface valuable user data for support or engagement.
  • Agent roster access: List all agents in your Landbot account, so your AI can help with team coordination or assign conversations based on up-to-date agent info.
  • Channel integration overview: Get a full inventory of all messaging channels connected to your Landbot account, including WhatsApp, to ensure your bots are reaching the right audiences.
  • WhatsApp template management: Fetch and review all available WhatsApp message templates, making it easy for your agent to suggest or automate template-driven outreach.

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 Landbot 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=["landbot"],
)

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 Landbot 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 Landbot 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=["landbot"],
)

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

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

Conclusion

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

Key takeaways:

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

Delete Bot

Tool to delete a specific bot from your account.

Get Brand

Tool to retrieve your brand data including contact information and settings.

List Agents

Tool to retrieve a list of agents in your Landbot account.

List Bots

Tool to list all bots in your Landbot account.

List Channels

Tool to list all channels integrated with your account.

List Customers

Tool to list customers who have interacted with your bot.

List WhatsApp Templates

Tool to list all WhatsApp message templates available for the account.

Replace Agent

Tool to replace all data for a specific agent (full update).

Replace Brand

Tool to replace or update brand data with a full update (PUT operation).

Send Message

Tool to send a plain text outbound message to a Landbot customer.

Set Agent Status

Tool to change your agent status to online, offline, or busy.

Update Agent

Tool to update an agent's information in your Landbot account.

Update Brand

Tool to partially update your brand data in Landbot.

FRAMEWORKS

How to build Landbot MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Landbot MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Landbot MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Landbot MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Landbot MCP with Claude Cowork

Codex logo

Codex

Use Landbot MCP with Codex

OpenClaw logo

OpenClaw

Use Landbot MCP with OpenClaw

Hermes logo

Hermes

Use Landbot MCP with Hermes

CLI logo

CLI

Use Landbot MCP with CLI

LangChain logo

LangChain

Use Landbot MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Landbot MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Landbot MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Landbot MCP with LlamaIndex

CrewAI logo

CrewAI

Use Landbot MCP with CrewAI

FAQ

Frequently asked questions

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

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

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