How to integrate Zoho bigin MCP with Pydantic AI

This guide walks you through connecting Zoho bigin to Pydantic AI using the Composio tool router. By the end, you'll have a working Zoho bigin agent that can add new contact to sales pipeline, list all open deals this week, tag recent leads as 'hot prospects' through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Zoho bigin account through Composio's Zoho bigin MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Zoho bigin

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Zoho Bigin is a simple CRM designed for small businesses to manage pipelines and customer relationships. It helps you organize deals, track progress, and streamline sales processes in one place.

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Introduction

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

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

Also integrate Zoho bigin with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex 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 Zoho bigin
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 Zoho bigin 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 Zoho bigin MCP server, and what's possible with it?

The Zoho bigin MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Zoho bigin account. It provides structured and secure access to your CRM pipeline data, so your agent can manage contacts, track deals, organize records, handle attachments, and streamline your small business workflows—all on your behalf.

Automated record management: Add, update, or delete records in any Zoho bigin module to keep your CRM data accurate and up to date.
Tagging and categorization: Create new tags or apply them to records, making it easy to segment contacts, deals, or companies for better organization.
Attachment handling: Retrieve, download, or delete attachments associated with your records, letting your agent manage files and documents with ease.
Module and data discovery: List available modules and fetch records with sorting, filtering, and pagination—perfect for quickly surfacing the data you need.
Deleted records auditing: Access and review recently deleted records for auditing or restoration, helping you maintain data integrity and recover lost information.

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 Zoho bigin
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 Zoho bigin
MCPServerStreamableHTTP connects to the Zoho bigin 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 Zoho bigin
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["zoho_bigin"],
    )
    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 Zoho bigin 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
zoho_bigin_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[zoho_bigin_mcp],
    instructions=(
        "You are a Zoho bigin assistant. Use Zoho bigin tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)

What's happening:

The MCP client connects to the Zoho bigin endpoint
The agent uses GPT-5 to interpret user commands and perform Zoho bigin 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 Zoho bigin.\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
Zoho bigin 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 Zoho bigin 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 Zoho bigin
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["zoho_bigin"],
    )
    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
    zoho_bigin_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[zoho_bigin_mcp],
        instructions=(
            "You are a Zoho bigin assistant. Use Zoho bigin 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 Zoho bigin.\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 Zoho bigin through Composio's Tool Router. With this setup, your agent can perform real Zoho bigin 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 + Zoho bigin 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 Zoho bigin action and event your agent gets out of the box.

Add Records

Tool to add new records to a module.

Add Tags to Records

Tool to add tags to a specific record in a module.

Create Bulk Read Job

Tool to create a bulk read job for exporting large amounts of data asynchronously.

Create Notes

Tool to create notes and associate them with records in Zoho Bigin.

Create Record Notes

Tool to create new notes for a specific record.

Create Tags

Tool to create tags for a module.

Delete Attachment

Tool to delete an attachment from a record.

Delete Note

Tool to delete a note from a specific record.

Delete Notes

Tool to delete multiple notes from Zoho Bigin.

Delete Record

Tool to delete a specific record from a module.

Delete Record Photo

Tool to delete a profile photo from a record.

Delete Records

Tool to delete records from a module.

Delink Related Records

Tool to delete the association between a module record and related list records.

Disable Notifications

Tool to disable instant notifications for one or more channels.

Download Attachment

Tool to download an attachment from a record.

Download Bulk Read Result

Tool to download the bulk read job result in ZIP format (containing CSV or ICS export).

Download Record Photo

Tool to download the profile photo associated with a specific record.

Enable Notifications

Tool to enable instant webhook notifications for module events in Bigin.

Get All Notes

Tool to retrieve the list of notes associated with records.

Get Attachments

Tool to retrieve attachments for a record.

Get Bulk Read Job Status

Tool to retrieve the details of a bulk read job performed earlier.

Get Custom View

Tool to get the metadata of a specific custom view configured in a module.

Get Custom Views

Tool to retrieve the list of custom views available for a module.

Get Deleted Records

Tool to get a list of deleted records in a module.

Get Fields

Tool to retrieve field metadata for a Bigin module.

Get Layout

Tool to retrieve details of a specific layout by layout ID.

Get Layouts

Tool to retrieve the list of layouts available for a module.

Get Module Metadata

Tool to retrieve metadata of a specific module by its API name.

Get Modules

Tool to retrieve a list of all modules.

Get Notification Details

Tool to retrieve information about enabled notifications.

Get Organization

Tool to retrieve organization details including name, ID, currency, time zone, and other settings.

Get Profiles

Tool to retrieve the list of available profiles and their properties in an organization.

Get Record

Tool to retrieve details of a specific record in a module using the record ID.

Get Record Notes

Tool to retrieve the list of notes associated with a specific record.

Get Records

Tool to retrieve records from a Bigin module.

Get Records Count

Tool to get the count of records in a Bigin module.

Get Related Lists Metadata

Tool to retrieve the list of related lists metadata for a module.

Get Related Records

Tool to retrieve related records associated with a specific record in a module.

Get Roles

Tool to retrieve the list of available roles and their properties in an organization.

Get Team Pipeline Records

Tool to retrieve pipeline records from Team Pipelines in Zoho Bigin.

Get User

Tool to retrieve details of a specific user using the user identification.

Get Users

Tool to retrieve the list of users in the organization.

Search Records

Tool to search for records in a Bigin module using various criteria.

Update Note

Tool to update an existing note for a specific record in a module.

Update Notification Details

Tool to update notification channel details in Zoho Bigin.

Update Notification Info

Tool to update specific notification information without losing existing data.

Update Records

Tool to update existing records in a module.

Update Related Records

Tool to update related records associated with a specific record in a module.

Update User

Tool to update details of an existing user by user ID.

Update Users

Tool to update details of multiple users in an organization.

Upload Attachment

Tool to upload an attachment to a record.

Upload Organization Photo

Tool to upload or update the brand logo or image for the current organization.

Upload Record Photo

Tool to upload a photo/image to a specific record (e.

Upsert Records

Tool to insert or update records in a module based on unique field values.

FRAMEWORKS

How to build Zoho bigin MCP Agent with another framework

ChatGPT

Use Zoho bigin MCP with ChatGPT

OpenAI Agents SDK

Use Zoho bigin MCP with OpenAI Agents SDK

Claude Agent SDK

Use Zoho bigin MCP with Claude Agent SDK

Claude Code

Use Zoho bigin MCP with Claude Code

Claude Cowork

Use Zoho bigin MCP with Claude Cowork

Codex

Use Zoho bigin MCP with Codex

OpenClaw

Use Zoho bigin MCP with OpenClaw

Hermes

Use Zoho bigin MCP with Hermes

CLI

Use Zoho bigin MCP with CLI

Google ADK

Use Zoho bigin MCP with Google ADK

LangChain

Use Zoho bigin MCP with LangChain

Vercel AI SDK

Use Zoho bigin MCP with Vercel AI SDK

Mastra AI

Use Zoho bigin MCP with Mastra AI

LlamaIndex

Use Zoho bigin MCP with LlamaIndex

CrewAI

Use Zoho bigin MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Hubspot

Oauth2Api Key

HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place.

Pipedrive

Oauth2Api Key

Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up.

Salesforce

Oauth2S2s Oauth2

Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships.

Apollo

Api Key

Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place.

FAQ

Frequently asked questions

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

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

Start with Zoho bigin.It takes 30 seconds.

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

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

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 Zoho bigin MCP with Pydantic AI

Connect Zoho bigin without auth hassles

Introduction

Also integrate Zoho bigin with

TL;DR

What is Pydantic AI?

What is the Zoho bigin 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

How to build Zoho bigin MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Hubspot

Pipedrive

Salesforce

Apollo

Frequently asked questions

What are the differences in Tool Router MCP and Zoho bigin MCP?+

Can I use Tool Router MCP with Pydantic AI?+

Can I manage the permissions and scopes for Zoho bigin while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Zoho bigin.It takes 30 seconds.

Teams ship real agents on Composio