# How to integrate Formcarry MCP with Google ADK

```json
{
  "title": "How to integrate Formcarry MCP with Google ADK",
  "toolkit": "Formcarry",
  "toolkit_slug": "formcarry",
  "framework": "Google ADK",
  "framework_slug": "google-adk",
  "url": "https://composio.dev/toolkits/formcarry/framework/google-adk",
  "markdown_url": "https://composio.dev/toolkits/formcarry/framework/google-adk.md",
  "updated_at": "2026-05-12T10:12:08.631Z"
}
```

## Introduction

This guide walks you through connecting Formcarry to Google ADK using the Composio tool router. By the end, you'll have a working Formcarry agent that can show all submissions from contact form, list feedback form responses from last week, retrieve job application submissions with resumes through natural language commands.
This guide will help you understand how to give your Google ADK agent real control over a Formcarry account through Composio's Formcarry MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Formcarry with

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

## TL;DR

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

The Formcarry MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Formcarry account. It provides structured and secure access to your form submissions, so your agent can perform actions like retrieving submissions, filtering response data, and automating workflows based on incoming form entries on your behalf.
- Retrieve recent form submissions: Instantly pull the latest entries from any of your Formcarry forms, complete with all submitted data.
- Filter submissions by form ID: Ask your agent to search and fetch submissions for a specific form, making it easy to review targeted data.
- Paginate through large datasets: Effortlessly process high volumes of submissions by navigating through paginated form responses.
- Automate form response processing: Use your agent to analyze new submissions and trigger follow-up actions or integrations without manual effort.
- Monitor submission trends over time: Let your agent help you track, summarize, and act on patterns in incoming form data.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FORMCARRY_CREATE_FORM` | Create Form | Create a new form with customizable settings including email notifications, webhooks, and thank you pages. This action creates a Formcarry form with extensive configuration options for email notifications (both to form owners and respondents), webhook integrations, Google Recaptcha spam protection, and customizable thank you pages. Use when you need to programmatically set up a new form with specific notification rules or integrations. |
| `FORMCARRY_DELETE_FORM` | Delete Form | Delete an existing form by its Form ID. Use when you need to permanently remove a form from your Formcarry account. |
| `FORMCARRY_RETRIEVE_SUBMISSIONS` | Retrieve Form Submissions | Retrieves all submissions for a specific Formcarry form. Returns a paginated list of form submissions with their field data, timestamps, and submission IDs. Use pagination parameters to navigate through large submission sets. Default page size is 25, maximum is 50 submissions per page. Useful for: collecting form responses, exporting submission data, integrating form data into other systems, or building custom analytics dashboards. |
| `FORMCARRY_VERIFY_AUTH` | Verify API Key Authentication | Tool to verify API key authentication with Formcarry. Use this endpoint to check if your API key is valid before making other API requests. Returns success status and a confirmation message if the API key is valid. |

## Supported Triggers

None listed.

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

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

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 Formcarry 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=["formcarry"],
)

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

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

## Conclusion

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

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

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- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
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## Frequently Asked Questions

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

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

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

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

---
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