# How to integrate Wachete MCP with Google ADK

```json
{
  "title": "How to integrate Wachete MCP with Google ADK",
  "toolkit": "Wachete",
  "toolkit_slug": "wachete",
  "framework": "Google ADK",
  "framework_slug": "google-adk",
  "url": "https://composio.dev/toolkits/wachete/framework/google-adk",
  "markdown_url": "https://composio.dev/toolkits/wachete/framework/google-adk.md",
  "updated_at": "2026-05-12T10:29:55.603Z"
}
```

## Introduction

This guide walks you through connecting Wachete to Google ADK using the Composio tool router. By the end, you'll have a working Wachete agent that can monitor a webpage for price changes, list all your active web watchers, delete a watcher monitoring an old url through natural language commands.
This guide will help you understand how to give your Google ADK agent real control over a Wachete account through Composio's Wachete MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Wachete with

- [OpenAI Agents SDK](https://composio.dev/toolkits/wachete/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/wachete/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/wachete/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/wachete/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/wachete/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/wachete/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/wachete/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/wachete/framework/cli)
- [LangChain](https://composio.dev/toolkits/wachete/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/wachete/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/wachete/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/wachete/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/wachete/framework/crew-ai)

## TL;DR

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

The Wachete MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, and more directly to your Wachete account. It provides structured and secure access to your web monitoring setup, so your agent can create watchers, monitor webpages for changes, manage your folders, and keep you notified about updates—all automatically.
- Automated webpage monitoring: Let your agent create new watchers to track changes on any web page or specific elements, so you never miss an update.
- Watcher management and cleanup: Effortlessly remove obsolete monitors by deleting watchers when you no longer need to track certain content.
- Folder structure navigation: Retrieve and explore the content of your Wachete folders, listing all subfolders and active watchers for better organization.
- Real-time change notifications: Instantly pull notifications about detected changes across all your monitored pages, keeping you up to date at a glance.
- Comprehensive watcher overview: Ask your agent to list all configured watchers, making it easy to review, audit, or adjust your monitoring strategy as your needs evolve.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `WACHETE_CREATE_UPDATE_FOLDER` | Create or update folder | Create a new folder or update an existing folder in Wachete. Folders help organize watchers into hierarchical structures. Omit the id parameter to create a new folder, or provide an id to update an existing one. |
| `WACHETE_CREATE_WATCHER` | Create Watcher | Create or update a Wachete watcher to monitor web page changes. Watchers check pages at specified intervals and send alerts when changes are detected. Use SinglePage mode for monitoring a single page, or Portal mode to crawl and monitor multiple linked pages. |
| `WACHETE_DELETE_FOLDER` | Delete folder | Permanently deletes a folder along with all nested subfolders and watchers (monitoring tasks). This is a destructive operation that cannot be undone. Use when you need to remove an entire folder structure. All subfolders and monitoring tasks within the folder will be permanently deleted. Obtain the folder ID from the Get Folder Content action before calling. Example: "Delete the folder with ID 576b3f7e-e126-4e92-9b95-f72a8d187a18" |
| `WACHETE_DELETE_WATCHER` | Delete watcher | Deletes a website monitoring watcher (task) by its unique ID. This operation is idempotent - deleting a non-existent or already-deleted watcher will succeed without error. Use when you need to permanently remove a monitoring task. Obtain the watcher ID from List Watchers or Create Watcher actions before calling. Example: "Delete the watcher with ID 974b65b5-6ccb-4996-812c-5a678c2455e8" |
| `WACHETE_GET_CRAWLER_PAGES` | Get crawler pages | Retrieves all pages monitored by a crawler watcher (portal monitor). Use this to get detailed information about each page being tracked including URLs, last check timestamps, content changes, and error states. Only works with portal-type watchers that monitor multiple pages. |
| `WACHETE_GET_DATA_HISTORY` | Get Data History | Retrieve history for a wachet (monitor). Returns timestamped snapshots of monitored content showing when changes occurred. Supports time range filtering and optional diff with previous value. Use continuationToken for pagination when retrieving large histories. |
| `WACHETE_GET_FOLDER_CONTENT` | Get folder content | Retrieves the contents of a Wachete folder, including subfolders and watcher tasks. Use this tool to: - List all subfolders and tasks in the root folder (omit parentId) - List contents of a specific folder (provide parentId) - Navigate the folder hierarchy using the path breadcrumb - Check task statuses and last check data Returns subfolders, tasks with their monitoring details, folder path, and pagination token. |
| `WACHETE_GET_WATCHER` | Get watcher by ID | Retrieve complete watcher (monitor) definition by ID. Use this to get detailed configuration and current status of a specific monitoring task including URL, XPath selector, alerts, notification endpoints, and latest check results. |
| `WACHETE_LIST_NOTIFICATIONS` | List notifications | Retrieves notifications from Wachete watchers. Returns notifications for all watchers or filtered by specific watcher ID and/or time range. Useful for checking recent changes detected by your web page monitors. |
| `WACHETE_LIST_WATCHERS` | List watchers | List all monitoring watchers (tasks) configured in your Wachete account. Optionally filter by search query. Returns up to 500 watchers with details including name, URL, monitoring settings, and notification configuration. |
| `WACHETE_MOVE_ITEMS_TO_FOLDER` | Move Items to Folder | Move tasks (watchers) and folders to a specified destination folder. Use this to organize your monitoring structure by relocating items within the folder hierarchy. Provide at least one of folderIds or taskIds to move items. Set folderId to null to move items to root level. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Wachete MCP server is an implementation of the Model Context Protocol that connects your AI agent to Wachete. It provides structured and secure access so your agent can perform Wachete operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for Google and Composio

Google API Key
- Go to [Google AI Studio](https://aistudio.google.com/app/apikey) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- 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.

### 2. Install dependencies

Inside your virtual environment, install the required packages.
What's happening:
- google-adk is Google's Agents Development Kit
- composio connects your agent to Wachete via MCP
- python-dotenv loads environment variables
```bash
pip install google-adk composio python-dotenv
```

### 3. Set up ADK project

Set up a new Google ADK project.
What's happening:
- This creates an agent folder with a root agent file and .env file
```bash
adk create my_agent
```

### 4. Set environment variables

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

### 5. Import modules and validate 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
```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.")
```

### 6. Create Composio client and Tool Router session

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
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

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

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
```

### 7. Set up the McpToolset and create the Agent

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
```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 Wachete operations."
    ),
    tools=[composio_toolset],
)

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

### 8. Run the agent

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
```bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web
```

## Complete Code

```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=["wachete"],
)

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

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

## Conclusion

You've successfully integrated Wachete with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Wachete using natural language commands.
Key takeaways:
- The Tool Router approach dynamically routes requests to the appropriate Wachete 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.

## How to build Wachete MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/wachete/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/wachete/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/wachete/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/wachete/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/wachete/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/wachete/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/wachete/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/wachete/framework/cli)
- [LangChain](https://composio.dev/toolkits/wachete/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/wachete/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/wachete/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/wachete/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/wachete/framework/crew-ai)

## Related Toolkits

- [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations.
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- [Conveyor](https://composio.dev/toolkits/conveyor) - Conveyor is a platform that automates security reviews with a Trust Center and AI-driven questionnaire automation. It streamlines compliance and vendor security processes for faster, hassle-free reviews.
- [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. It helps teams centralize multilingual content, boost productivity, and automate translation processes.
- [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights.
- [Detrack](https://composio.dev/toolkits/detrack) - Detrack is a delivery management platform for real-time tracking and proof of delivery. It helps businesses automate notifications and keep customers updated every step of the way.
- [Dnsfilter](https://composio.dev/toolkits/dnsfilter) - Dnsfilter is a cloud-based DNS security and content filtering solution. It helps organizations block online threats and manage safe internet access with ease.
- [Faraday](https://composio.dev/toolkits/faraday) - Faraday lets you embed AI in workflows across your stack for smarter automation. It boosts your favorite tools with actionable intelligence and seamless integration.
- [Feathery](https://composio.dev/toolkits/feathery) - Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease.
- [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease.
- [Formdesk](https://composio.dev/toolkits/formdesk) - Formdesk is an online form builder for creating and managing professional forms. It's perfect for collecting data, automating workflows, and integrating form submissions with your favorite services.
- [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows.
- [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses.
- [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale.
- [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals.
- [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps.
- [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination.
- [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code.
- [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Wachete MCP?

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

### Can I use Tool Router MCP with Google ADK?

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 Wachete tools.

### Can I manage the permissions and scopes for Wachete while using Tool Router?

Yes, absolutely. You can configure which Wachete 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.

### How safe is my data with Composio Tool Router?

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 Wachete data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
