Zoho bigin with AutoGen

How to integrate Zoho bigin MCP with Autogen

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Introduction Also integrate Zoho bigin with TL;DR What is AutoGen What is the Zoho bigin MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Zoho bigin MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Zoho bigin to AutoGen 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 AutoGen 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 Antigravity 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:

Get and set up your OpenAI and Composio API keys
Install the required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Zoho bigin
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Zoho bigin tools
Run a live chat loop where you ask the agent to perform Zoho bigin operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

Multi-Agent Systems: Build collaborative agent workflows
MCP Workbench: Native support for Model Context Protocol tools
Streaming HTTP: Connect to external services through streamable HTTP
AssistantAgent: Pre-built agent class for tool-using assistants

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.

Supported Tools & Triggers

Tools

Add RecordsTool to add new records to a module.

Add Tags to RecordsTool to add tags to a specific record in a module.

Create Bulk Read JobTool to create a bulk read job for exporting large amounts of data asynchronously.

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

Create Record NotesTool to create new notes for a specific record.

Create TagsTool to create tags for a module.

Delete AttachmentTool to delete an attachment from a record.

Delete NoteTool to delete a note from a specific record.

Delete NotesTool to delete multiple notes from Zoho Bigin.

Delete RecordTool to delete a specific record from a module.

Delete Record PhotoTool to delete a profile photo from a record.

Delete RecordsTool to delete records from a module.

Delink Related RecordsTool to delete the association between a module record and related list records.

Disable NotificationsTool to disable instant notifications for one or more channels.

Download AttachmentTool to download an attachment from a record.

Download Bulk Read ResultTool to download the bulk read job result in ZIP format (containing CSV or ICS export).

Download Record PhotoTool to download the profile photo associated with a specific record.

Enable NotificationsTool to enable instant webhook notifications for module events in Bigin.

Get All NotesTool to retrieve the list of notes associated with records.

Get AttachmentsTool to retrieve attachments for a record.

Get Bulk Read Job StatusTool to retrieve the details of a bulk read job performed earlier.

Get Custom ViewTool to get the metadata of a specific custom view configured in a module.

Get Custom ViewsTool to retrieve the list of custom views available for a module.

Get Deleted RecordsTool to get a list of deleted records in a module.

Get FieldsTool to retrieve field metadata for a Bigin module.

Get LayoutTool to retrieve details of a specific layout by layout ID.

Get LayoutsTool to retrieve the list of layouts available for a module.

Get Module MetadataTool to retrieve metadata of a specific module by its API name.

Get ModulesTool to retrieve a list of all modules.

Get Notification DetailsTool to retrieve information about enabled notifications.

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

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

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

Get Record NotesTool to retrieve the list of notes associated with a specific record.

Get RecordsTool to retrieve records from a Bigin module.

Get Records CountTool to get the count of records in a Bigin module.

Get Related Lists MetadataTool to retrieve the list of related lists metadata for a module.

Get Related RecordsTool to retrieve related records associated with a specific record in a module.

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

Get Team Pipeline RecordsTool to retrieve pipeline records from Team Pipelines in Zoho Bigin.

Get UserTool to retrieve details of a specific user using the user identification.

Get UsersTool to retrieve the list of users in the organization.

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

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

Update Notification DetailsTool to update notification channel details in Zoho Bigin.

Update Notification InfoTool to update specific notification information without losing existing data.

Update RecordsTool to update existing records in a module.

Update Related RecordsTool to update related records associated with a specific record in a module.

Update UserTool to update details of an existing user by user ID.

Update UsersTool to update details of multiple users in an organization.

Upload AttachmentTool to upload an attachment to a record.

Upload Organization PhotoTool to upload or update the brand logo or image for the current organization.

Upload Record PhotoTool to upload a photo/image to a specific record (e.

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

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

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Zoho bigin account you can connect to Composio
Some basic familiarity with Autogen and Python async

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 python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Zoho bigin via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

COMPOSIO_API_KEY is required to talk to Composio
OPENAI_API_KEY is used by Autogen's OpenAI client
USER_ID is how Composio identifies which user's Zoho bigin connections to use

Import dependencies and create Tool Router session

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Zoho bigin session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["zoho_bigin"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Zoho bigin tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python

# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

url points to the Tool Router MCP endpoint from Composio
timeout is the HTTP timeout for requests
sse_read_timeout controls how long to wait when streaming responses
terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python

# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Zoho bigin assistant agent with MCP tools
    agent = AssistantAgent(
        name="zoho_bigin_assistant",
        description="An AI assistant that helps with Zoho bigin operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Zoho bigin tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Zoho bigin related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Zoho bigin tools to call via MCP
agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Zoho bigin and AutoGen:

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Zoho bigin session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["zoho_bigin"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Zoho bigin assistant agent with MCP tools
        agent = AssistantAgent(
            name="zoho_bigin_assistant",
            description="An AI assistant that helps with Zoho bigin operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Zoho bigin related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

Conclusion

You now have an Autogen assistant wired into Zoho bigin through Composio's Tool Router and MCP. From here you can:

Add more toolkits to the toolkits list, for example notion or hubspot
Refine the agent description to point it at specific workflows
Wrap this script behind a UI, Slack bot, or internal tool

Once the pattern is clear for Zoho bigin, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

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OpenClaw

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TOOLKIT MARKETPLACE

FAQ

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

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.

Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen 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.

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

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.

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 Zoho bigin data and credentials are handled as safely as possible.

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Harsha GaddipatiCo-founder, Slashy

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

Abhi AryaCo-founder, Opennote

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 has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

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

Ryan YuFounder, Extra Thursday

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

Tomisin JenrolaFounder & CEO, SwarmZero

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

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

How to integrate Zoho bigin MCP with Autogen

Table of Contents

Connect Zoho bigin without Auth hassles

Introduction

Also integrate Zoho bigin with

TL;DR

What is AutoGen?

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

Supported Tools & Triggers

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 and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

How to build Zoho bigin MCP Agent with another framework

ChatGPT

Antigravity

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

FAQ

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

Can I use Tool Router MCP with Autogen?

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

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability