How to integrate Googleforms MCP with Pydantic AI

This guide walks you through connecting Googleforms to Pydantic AI using the Composio tool router. By the end, you'll have a working Googleforms agent that can create customer feedback survey form, summarize latest event rsvp responses, add questions to onboarding form through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Googleforms account through Composio's Googleforms MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Googleforms is Google's online form and survey builder for collecting structured responses. It makes it easy to create forms, share them, and review answers in one place.

10 Tools

Introduction

This guide walks you through connecting Googleforms to Pydantic AI using the Composio tool router. By the end, you'll have a working Googleforms agent that can create customer feedback survey form, summarize latest event rsvp responses, add questions to onboarding form through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Googleforms account through Composio's Googleforms MCP server.

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

Also integrate Googleforms with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Googleforms
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Googleforms workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Googleforms MCP server, and what's possible with it?

The Googleforms MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Googleforms account. It provides structured and secure access to your forms, responses, publishing settings, and notification watches, so your agent can create forms, update form content, review responses, control publishing, and manage notifications on your behalf.

  • Form creation and updates: Have your agent create a Google Form with a chosen title and apply multiple updates to its content in one request.
  • Form details and structure: Let the agent retrieve a form's complete structure and metadata whenever you need to inspect its setup.
  • Response review: Instruct your agent to list submissions for a form or retrieve one specific response for closer review.
  • Publishing controls: Direct your agent to publish or unpublish a form and choose whether it should accept responses.
  • Response notifications: Have your agent create, list, renew, or delete form watches that send event notifications through Google Cloud Pub/Sub.

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:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Googleforms
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Googleforms
  • MCPServerStreamableHTTP connects to the Googleforms MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Googleforms
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["googleforms"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Googleforms tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
googleforms_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[googleforms_mcp],
    instructions=(
        "You are a Googleforms assistant. Use Googleforms tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Googleforms endpoint
  • The agent uses GPT-5 to interpret user commands and perform Googleforms operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Googleforms.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Googleforms API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Googleforms and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Googleforms
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["googleforms"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    googleforms_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[googleforms_mcp],
        instructions=(
            "You are a Googleforms assistant. Use Googleforms tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Googleforms.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Googleforms through Composio's Tool Router. With this setup, your agent can perform real Googleforms actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Googleforms for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Googleforms action and event your agent gets out of the box.

Batch Update Form

Applies a batch of update operations to a Google Form in a single atomic transaction.

Create a Google Form

Creates a new Google Form with the specified title.

Create Form Watch

Creates a watch on a Google Form to receive push notifications via Cloud Pub/Sub when specified events occur.

Delete Form Watch

Deletes a watch from a Google Form, stopping push notifications for that watch.

Get Google Form

Retrieves the complete structure and metadata of a Google Form.

Get form response

Retrieves a single form response by its unique response ID.

List Google Form Responses

Lists all responses submitted to a Google Form with optional filtering and pagination.

List Form Watches

Lists all watches owned by the calling project for a specific Google Form.

Renew Form Watch

Renews a watch on a Google Form, extending its expiration by one week from the time of renewal.

Set Form Publish Settings

Updates the publishing settings of a Google Form, controlling whether the form is published (visible to others) and whether it accepts responses.

FRAMEWORKS

How to build Googleforms MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Googleforms MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Googleforms MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Googleforms MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Googleforms MCP with Claude Cowork

Codex logo

Codex

Use Googleforms MCP with Codex

OpenClaw logo

OpenClaw

Use Googleforms MCP with OpenClaw

Hermes logo

Hermes

Use Googleforms MCP with Hermes

CLI logo

CLI

Use Googleforms MCP with CLI

Google ADK logo

Google ADK

Use Googleforms MCP with Google ADK

LangChain logo

LangChain

Use Googleforms MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Googleforms MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Googleforms MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Googleforms MCP with LlamaIndex

CrewAI logo

CrewAI

Use Googleforms MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. Pydantic AI 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 Googleforms tools.

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

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