# How to integrate Zoho desk MCP with OpenAI Agents SDK

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

## Introduction

This guide walks you through connecting Zoho desk to the OpenAI Agents SDK 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 OpenAI Agents SDK 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)
- [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)
- [CrewAI](https://composio.dev/toolkits/zoho_desk/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Zoho desk
- Configure an AI agent that can use Zoho desk as a tool
- Run a live chat session where you can ask the agent to perform Zoho desk operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Zoho desk project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Zoho desk.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only zoho_desk.
- The router checks the user's Zoho desk connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Zoho desk.
- This approach keeps things lightweight and lets the agent request Zoho desk tools only when needed during the conversation.
```python
# Create a Zoho desk Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["zoho_desk"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Zoho desk
const session = await composio.create(userId as string, {
  toolkits: ['zoho_desk'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Zoho desk. "
        "Help users perform Zoho desk operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Zoho desk. Help users perform Zoho desk operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["zoho_desk"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Zoho desk. "
        "Help users perform Zoho desk operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['zoho_desk'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Zoho desk. Help users perform Zoho desk operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Zoho desk MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Zoho desk.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

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

- [ChatGPT](https://composio.dev/toolkits/zoho_desk/framework/chatgpt)
- [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)
- [CrewAI](https://composio.dev/toolkits/zoho_desk/framework/crew-ai)

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- [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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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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[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)