How to integrate Google Docs MCP with Pydantic AI

This guide walks you through connecting Google Docs to Pydantic AI using the Composio tool router. By the end, you'll have a working Google Docs agent that can create a new meeting notes document, copy last week's project summary template, add bullet points to the action items section through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Google Docs account through Composio's Google Docs MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Google Docs

Oauth2

Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.

33 Tools10 Triggers

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Introduction

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

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

Also integrate Google Docs with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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 Google Docs
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 Google Docs 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 Google Docs MCP server, and what's possible with it?

The Google Docs MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Google Docs account. It provides structured and secure access to your documents, so your agent can create, copy, edit, and organize Google Docs on your behalf.

Automated document creation and duplication: Let your agent generate new Google Docs from scratch or copy existing documents to quickly use templates or preserve originals.
Rich content editing and formatting: Direct your agent to add headers, footers, footnotes, bullet lists, and more—making it easy to update and format documents programmatically.
Targeted content manipulation: Have your agent delete specific content ranges, paragraphs, or sections within any document to keep your files up to date.
Named range management: Empower your agent to create and manage named ranges for easier referencing, collaboration, and advanced document workflows.
Markdown-based document generation: Allow the agent to create new Google Docs directly from markdown content, streamlining content migration from other tools or sources.

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:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS

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

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.

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 Google Docs
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

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

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 Google Docs
MCPServerStreamableHTTP connects to the Google Docs MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

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 Google Docs
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["googledocs"],
    )
    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 Google Docs 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

Initialize the Pydantic AI Agent

python

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

What's happening:

The MCP client connects to the Google Docs endpoint
The agent uses GPT-5 to interpret user commands and perform Google Docs operations
The instructions field defines the agent's role and behavior

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 Google Docs.\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
Google Docs API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

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 Google Docs 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 Google Docs
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["googledocs"],
    )
    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
    googledocs_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[googledocs_mcp],
        instructions=(
            "You are a Google Docs assistant. Use Google Docs 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 Google Docs.\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 Google Docs through Composio's Tool Router. With this setup, your agent can perform real Google Docs 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 + Google Docs 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 & TRIGGERS

Supported Tools and Triggers

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

Copy Google Document

Tool to create a copy of an existing Google Document.

Create a document

Creates a new Google Docs document using the provided title as filename and inserts the initial text at the beginning if non-empty, returning the document's ID and metadata (excluding body content).

Create Document Markdown

Creates a new Google Docs document, optionally initializing it with a title and content provided as Markdown text.

Create Footer

Tool to create a new footer in a Google Document.

Create Footnote

Tool to create a new footnote in a Google Document.

Create Header

Tool to create a new header in a Google Document, optionally with text content.

Create Named Range

Tool to create a new named range in a Google Document.

Create Paragraph Bullets

Tool to add bullets to paragraphs within a specified range in a Google Document.

Delete Content Range in Document

Tool to delete a range of content from a Google Document.

Delete Footer

Tool to delete a footer from a Google Document.

Delete Header

Deletes the header from the specified section or the default header if no section is specified.

Delete Named Range

Tool to delete a named range from a Google Document.

Delete Paragraph Bullets

Tool to remove bullets from paragraphs within a specified range in a Google Document.

Delete Table Column

Tool to delete a column from a table in a Google Document.

Delete Table Row

Tool to delete a row from a table in a Google Document.

Export Google Doc as PDF

Tool to export a Google Docs file as PDF using the Google Drive API.

Get document by id

Retrieves an existing Google Document by its ID; will error if the document is not found.

Get document plain text

Retrieve a Google Doc by ID and return a best-effort plain-text rendering.

Insert Inline Image

Tool to insert an image from a given URI at a specified location in a Google Document as an inline image.

Insert Page Break

Tool to insert a page break into a Google Document.

Insert Table in Google Doc

Tool to insert a table into a Google Document.

Insert Table Column

Tool to insert a new column into a table in a Google Document.

Insert Text into Document

Tool to insert a string of text at a specified location within a Google Document.

Get Charts from Spreadsheet

Tool to retrieve a list of all charts from a specified Google Sheets spreadsheet.

Replace All Text in Document

Tool to replace all occurrences of a specified text string with another text string throughout a Google Document.

Replace Image in Document

Tool to replace a specific image in a document with a new image from a URI.

Search Documents

Search for Google Documents using various filters including name, content, date ranges, and more.

Unmerge Table Cells

Tool to unmerge previously merged cells in a table.

Update Document Markdown

Replaces the entire content of an existing Google Docs document with new Markdown text; requires edit permissions for the document.

Update Document Section Markdown

Tool to insert or replace a section of a Google Docs document with Markdown content.

Update Document Style

Tool to update the overall document style, such as page size, margins, and default text direction.

Update existing document

Applies programmatic edits, such as text insertion, deletion, or formatting, to a specified Google Doc using the `batchUpdate` API method.

Update Table Row Style

Tool to update the style of a table row in a Google Document.

FRAMEWORKS

How to build Google Docs MCP Agent with another framework

ChatGPT

Use Google Docs MCP with ChatGPT

OpenAI Agents SDK

Use Google Docs MCP with OpenAI Agents SDK

Claude Agent SDK

Use Google Docs MCP with Claude Agent SDK

Claude Code

Use Google Docs MCP with Claude Code

Claude Cowork

Use Google Docs MCP with Claude Cowork

Codex

Use Google Docs MCP with Codex

Cursor

Use Google Docs MCP with Cursor

OpenClaw

Use Google Docs MCP with OpenClaw

Hermes

Use Google Docs MCP with Hermes

CLI

Use Google Docs MCP with CLI

Google ADK

Use Google Docs MCP with Google ADK

LangChain

Use Google Docs MCP with LangChain

Vercel AI SDK

Use Google Docs MCP with Vercel AI SDK

Mastra AI

Use Google Docs MCP with Mastra AI

LlamaIndex

Use Google Docs MCP with LlamaIndex

CrewAI

Use Google Docs MCP with CrewAI

OpenCode

Use Google Docs MCP with OpenCode

VS Code

Use Google Docs MCP with VS Code

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Google Drive

Oauth2

Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.

Google Super

Oauth2Api Key

Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.

Affinda

Api Key

Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.

Agility cms

Api Key

Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease.

FAQ

Frequently asked questions

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

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

Start with Google Docs.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Google Docs tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Google Docs MCP with Pydantic AI

Connect Google Docs without auth hassles

Introduction

Also integrate Google Docs with

TL;DR

What is Pydantic AI?

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

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

Complete Code

Conclusion

Supported Tools and Triggers

How to build Google Docs MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Google Drive

Google Super

Affinda

Agility cms

Frequently asked questions

What are the differences in Tool Router MCP and Google Docs MCP?+

Can I use Tool Router MCP with Pydantic AI?+

Can I manage the permissions and scopes for Google Docs while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Google Docs.It takes 30 seconds.

Teams ship real agents on Composio