# How to integrate Zoho desk MCP with CrewAI

```json
{
  "title": "How to integrate Zoho desk MCP with CrewAI",
  "toolkit": "Zoho desk",
  "toolkit_slug": "zoho_desk",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/zoho_desk/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/zoho_desk/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:31:24.409Z"
}
```

## Introduction

This guide walks you through connecting Zoho desk to CrewAI using the Composio tool router. By the end, you'll have a working Zoho desk agent that can list high-priority open support tickets, summarize recent customer interactions today, create new ticket for incoming email through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Zoho desk account through Composio's Zoho desk MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Zoho desk with

- [ChatGPT](https://composio.dev/toolkits/zoho_desk/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/zoho_desk/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/zoho_desk/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/zoho_desk/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/zoho_desk/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/zoho_desk/framework/codex)
- [Cursor](https://composio.dev/toolkits/zoho_desk/framework/cursor)
- [VS Code](https://composio.dev/toolkits/zoho_desk/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/zoho_desk/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/zoho_desk/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/zoho_desk/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/zoho_desk/framework/cli)
- [Google ADK](https://composio.dev/toolkits/zoho_desk/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/zoho_desk/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/zoho_desk/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/zoho_desk/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/zoho_desk/framework/llama-index)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Zoho desk connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Zoho desk
- Build a conversational loop where your agent can execute Zoho desk operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

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

The Zoho desk 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 Desk account. It provides structured and secure access to your helpdesk workspace, so your agent can perform actions like tracking support tickets, managing customer conversations, automating ticket workflows, and generating support insights on your behalf.
- Ticket tracking and management: Let your agent create, update, and monitor support tickets, ensuring customer inquiries are handled efficiently.
- Automated workflow execution: Empower your agent to automate repetitive support processes, such as assigning tickets or escalating issues based on rules.
- Customer communication handling: Enable your agent to fetch and organize customer conversations, keeping your team informed and responsive.
- Insightful analytics and reporting: Have your agent generate detailed reports and metrics on ticket trends, response times, and agent performance for better decision-making.
- Collaboration with support teams: Allow your agent to coordinate with team members by tagging, commenting, or sharing ticket information securely within Zoho Desk.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ZOHO_DESK_CREATE_TICKET` | Create Ticket | Tool to create a new Zoho Desk ticket with subject, description, department, and requester details. Use when you need to create a support ticket in Zoho Desk. Returns the created ticket with id and webUrl for downstream chaining. |
| `ZOHO_DESK_GET_AGENT` | Get Agent | Tool to fetch details of a Zoho Desk agent. Use when you have an agent ID and need its full data, optionally including related resources. |
| `ZOHO_DESK_GET_AGENTS_COUNT` | Get Agents Count | Tool to get the total count of agents in Zoho Desk. Use when you need the number of agents optionally filtered by status, confirmation, or light agents. |
| `ZOHO_DESK_GET_CONTACT` | Get Contact | Tool to fetch details of a Zoho Desk contact. Use when you have a contact ID and need its full data, optionally including accounts or owner details. |
| `ZOHO_DESK_GET_CONTACTS_BY_IDS` | Get Contacts By IDs | Tool to fetch multiple contacts by their IDs using Zoho Desk's contactsByIds endpoint. |
| `ZOHO_DESK_GET_DEPARTMENT` | Get Department | Tool to fetch details of a Zoho Desk department by ID. |
| `ZOHO_DESK_GET_DEPARTMENT_LOGO` | Get Department Logo | Tool to get/download a department's logo from Zoho Desk. |
| `ZOHO_DESK_GET_DEPARTMENTS_COUNT` | Get Departments Count | Tool to get the total count of departments in Zoho Desk. Use when you need the number of departments, optionally filtered by enabled status. |
| `ZOHO_DESK_GET_TICKET` | Get Ticket | Get Ticket |
| `ZOHO_DESK_GET_TICKET_LATEST_THREAD` | Get Ticket Latest Thread | Tool to fetch the most recent thread of a ticket. Use when you need the latest conversation on a ticket. |
| `ZOHO_DESK_GET_TICKET_RESOLUTION` | Get Ticket Resolution | Get Ticket Resolution |
| `ZOHO_DESK_GET_TICKET_THREAD` | Get Ticket Thread | Tool to fetch a specific thread within a Zoho Desk ticket. Use when you need detailed thread information by ticket and thread IDs. |
| `ZOHO_DESK_LIST_CONTACT_ACCOUNTS` | List Contact Accounts | Tool to list accounts associated with a Zoho Desk contact. Use when you need to retrieve the accounts linked to a specific contact. |
| `ZOHO_DESK_LIST_CONTACTS` | List Contacts | Tool to list contacts with filters and pagination. Use when you need to fetch contacts from Zoho Desk with optional filtering, sorting, or field selection. |
| `ZOHO_DESK_LIST_DEPARTMENTS` | List Departments | Tool to list all departments in the current Zoho Desk organization. |
| `ZOHO_DESK_LIST_ORGANIZATIONS` | List Organizations | Tool to list all organizations the current user belongs to. Use when you need to retrieve organization metadata like portal URLs, names, and editions. |
| `ZOHO_DESK_LIST_ROLES` | List Roles | List Roles |
| `ZOHO_DESK_LIST_ROLES_BY_IDS` | List Roles By IDs | List Roles By IDs |
| `ZOHO_DESK_LIST_TEAMS_IN_DEPARTMENT` | List Teams in Department | Tool to list teams in the specified Zoho Desk department. |
| `ZOHO_DESK_LIST_TICKET_CONVERSATIONS` | List Ticket Conversations | List Ticket Conversations |
| `ZOHO_DESK_LIST_TICKETS` | List Tickets | List Tickets |
| `ZOHO_DESK_UPDATE_MANY_TASKS` | Update Many Tasks | Update multiple tasks in a single call using Zoho Desk API. Endpoint: POST /api/v1/tasks/updateMany |
| `ZOHO_DESK_UPLOAD_DEPARTMENT_LOGO` | Upload Department Logo | Tool to upload/update a department logo in Zoho Desk. |

## Supported Triggers

None listed.

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

The Zoho desk MCP server is an implementation of the Model Context Protocol that connects your AI agent to Zoho desk. It provides structured and secure access so your agent can perform Zoho desk 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:
- Python 3.9 or higher
- A Composio account and API key
- A Zoho desk connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

**What's happening:**
- composio connects your agent to Zoho desk via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Zoho desk MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Zoho desk

**What's happening:**
- You create a Zoho desk only session through Composio
- Composio returns an MCP HTTP URL that exposes Zoho desk tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["zoho_desk"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

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.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["zoho_desk"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Zoho desk through Composio's Tool Router. The agent can perform Zoho desk operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## How to build Zoho desk MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/zoho_desk/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/zoho_desk/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/zoho_desk/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/zoho_desk/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/zoho_desk/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/zoho_desk/framework/codex)
- [Cursor](https://composio.dev/toolkits/zoho_desk/framework/cursor)
- [VS Code](https://composio.dev/toolkits/zoho_desk/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/zoho_desk/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/zoho_desk/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/zoho_desk/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/zoho_desk/framework/cli)
- [Google ADK](https://composio.dev/toolkits/zoho_desk/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/zoho_desk/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/zoho_desk/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/zoho_desk/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/zoho_desk/framework/llama-index)

## Related Toolkits

- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.
- [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.
- [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
- [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code.
- [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding.
- [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls.
- [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources.
- [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.
- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster.
- [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment.
- [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support.
- [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach.
- [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback.
- [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Zoho desk MCP?

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

### Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI 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 desk tools.

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

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

---
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