# How to integrate Promptmate io MCP with Google ADK

```json
{
  "title": "How to integrate Promptmate io MCP with Google ADK",
  "toolkit": "Promptmate io",
  "toolkit_slug": "promptmate_io",
  "framework": "Google ADK",
  "framework_slug": "google-adk",
  "url": "https://composio.dev/toolkits/promptmate_io/framework/google-adk",
  "markdown_url": "https://composio.dev/toolkits/promptmate_io/framework/google-adk.md",
  "updated_at": "2026-05-12T10:22:57.575Z"
}
```

## Introduction

This guide walks you through connecting Promptmate io to Google ADK using the Composio tool router. By the end, you'll have a working Promptmate io agent that can list all active promptmate app integrations, create webhook for new job completions, delete webhook with specific webhook id through natural language commands.
This guide will help you understand how to give your Google ADK agent real control over a Promptmate io account through Composio's Promptmate io MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Promptmate io with

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

## TL;DR

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

The Promptmate 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 Promptmate io account. It provides structured and secure access to your Promptmate apps and webhooks, so your agent can perform actions like listing available AI apps, managing webhooks, and monitoring automation events on your behalf.
- Discover and list Promptmate apps: Quickly retrieve and browse all available Promptmate applications to power your AI workflows or find the right tool for your automation needs.
- Create new webhooks for automation: Direct your agent to subscribe endpoints to job or row events, enabling seamless integration with external systems or real-time workflow triggers.
- Manage and delete existing webhooks: Effortlessly remove outdated or unnecessary webhook subscriptions by specifying their unique IDs, keeping your integrations tidy and secure.
- Inspect current webhook subscriptions: Let your agent list all configured webhooks, giving you visibility into active event listeners and helping you audit or troubleshoot automations.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PROMPTMATE_IO_CREATE_WEBHOOK` | Create webhook | Tool to create a new webhook. Use when you need to subscribe an endpoint URL to job or row events. |
| `PROMPTMATE_IO_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook by its unique ID. Use after confirming the webhookId to remove. |
| `PROMPTMATE_IO_GET_APP_JOB` | Get App Job Status | Tool to get the status and result of a specific app job by its ID. Use when you need to check the status or retrieve results of a previously submitted job. |
| `PROMPTMATE_IO_GET_USER_INFO` | Get User Info | Tool to get user information for the authenticated API key owner. Use when you need to retrieve details about the current user. |
| `PROMPTMATE_IO_LIST_APPS` | List PromptMate Apps | Tool to list all available apps. Use when you need to retrieve the catalogue of PromptMate apps. |
| `PROMPTMATE_IO_LIST_COUNTRIES` | List Countries | Tool to list available countries for app configuration. Use when you need to retrieve the list of supported countries. |
| `PROMPTMATE_IO_LIST_LANGUAGES` | List Available Languages | Tool to list available languages for app configuration. Use when you need to retrieve supported language options. |
| `PROMPTMATE_IO_LIST_PROJECTS` | List Projects | Tool to list all available projects. Use when you need to retrieve the list of PromptMate projects. |
| `PROMPTMATE_IO_LIST_TEMPLATES` | List Templates | Tool to list all available templates. Use when you need to retrieve the catalogue of PromptMate templates. |
| `PROMPTMATE_IO_LIST_WEBHOOKS` | List Webhooks | Tool to list all configured webhooks. Use when you need to inspect current webhook subscriptions. |
| `PROMPTMATE_IO_USE_TEMPLATE` | Use Template | Tool to use a specific template to process data. Use when you need to apply a template with optional data parameters. |

## Supported Triggers

None listed.

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

The Promptmate io MCP server is an implementation of the Model Context Protocol that connects your AI agent to Promptmate io. It provides structured and secure access so your agent can perform Promptmate io 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 Promptmate io 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=["promptmate_io"],
)

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 Promptmate io 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=["promptmate_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 Promptmate io operations."
    ),  
    tools=[composio_toolset],
)

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

## Conclusion

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

## How to build Promptmate io MCP Agent with another framework

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

## Related Toolkits

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.
- [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences.
- [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement.
- [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team.
- [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs.
- [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code.
- [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets.
- [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Promptmate io MCP?

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

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

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

---
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