# How to integrate Helpdesk MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Helpdesk MCP with OpenAI Agents SDK",
  "toolkit": "Helpdesk",
  "toolkit_slug": "helpdesk",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/helpdesk/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/helpdesk/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:14:46.078Z"
}
```

## Introduction

This guide walks you through connecting Helpdesk to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Helpdesk agent that can list all agents available for support, show all active canned responses for tickets, retrieve contact details for a specific customer through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Helpdesk account through Composio's Helpdesk MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Helpdesk with

- [Claude Agent SDK](https://composio.dev/toolkits/helpdesk/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/helpdesk/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/helpdesk/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/helpdesk/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/helpdesk/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/helpdesk/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/helpdesk/framework/cli)
- [Google ADK](https://composio.dev/toolkits/helpdesk/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/helpdesk/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/helpdesk/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/helpdesk/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/helpdesk/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/helpdesk/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 Helpdesk
- Configure an AI agent that can use Helpdesk as a tool
- Run a live chat session where you can ask the agent to perform Helpdesk 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 Helpdesk MCP server, and what's possible with it?

The Helpdesk MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Helpdesk account. It provides structured and secure access to your ticketing system, so your agent can perform actions like listing support agents, managing contacts, retrieving canned responses, and reviewing automation rules on your behalf.
- Agent and team management: Instantly list all support agents and teams in your Helpdesk account, making it easy to organize and delegate customer inquiries.
- Contact and subscription retrieval: Pull up detailed contact lists and subscription information so your agent always has up-to-date customer and account data at hand.
- Canned response access: Let your agent fetch and suggest predefined reply templates, ensuring fast and consistent communication with customers.
- Rules and automation overview: Review all configured automation rules in your helpdesk, helping your agent stay aligned with your business processes and ticketing workflows.
- Account configuration insights: Retrieve lists of custom fields, reply addresses, licenses, and email domains to support personalized automation and account management tasks.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HELPDESK_LIST_AGENTS` | List Agents | Retrieves all support agents (team members) in the HelpDesk account. Use this action to get a complete list of agents with their details including: - Agent profiles (name, email, avatar, job title) - Role assignments (owner, normal, viewer) - Team memberships - Status (active or invited) - Auto-assignment settings - Email signatures This action requires no parameters and returns all agents in the account. Useful for finding agent IDs, checking team composition, or verifying permissions. |
| `HELPDESK_LIST_CANNED_RESPONSES` | List Canned Responses | Tool to list canned responses. Use when you need to retrieve all predefined reply templates for tickets. |
| `HELPDESK_LIST_CUSTOM_FIELDS` | List Custom Fields | Tool to list all custom fields defined in the account. Use when you need to view or manage custom fields. Only callable after authentication. |
| `HELPDESK_LIST_EMAIL_DOMAINS` | List Email Domains | Lists all email domains configured for the HelpDesk account. Returns a comprehensive list of all email domains set up in the HelpDesk account, including domain names, verification status, DNS records, and configuration flags. Email domains allow you to send and receive tickets via custom email addresses. Use this action to: - Get domain IDs and names for use in other API operations - Check domain verification and setup status - View DNS configuration requirements - Audit which domains are actively being used for inbox No parameters required - returns all email domains accessible to the authenticated account. |
| `HELPDESK_LIST_LICENSES` | List Licenses | Retrieves all licenses (account configurations) for the authenticated HelpDesk account. A license represents a customer account and contains subscription information, global settings, default team/template assignments, and detected languages. Most accounts have one license. Use this action to: - Check account configuration and settings - Get account ID and metadata - View default team and template assignments - Inspect company settings and feature flags No parameters required - returns all licenses for the authenticated account. |
| `HELPDESK_LIST_REPLY_ADDRESSES` | List Reply Addresses | Lists all reply addresses configured in the HelpDesk account. Reply addresses are email addresses used to receive and respond to support tickets. Each reply address must be associated with a verified email domain and can be used as the "From" address when sending ticket responses to customers. Use this action to: - Get all available reply addresses and their verification status - Retrieve reply address IDs for use in other operations (e.g., creating mailboxes) - Check which email domains are being used for reply addresses - Audit reply address configuration across the account No parameters required - returns all reply addresses accessible to the authenticated account. |
| `HELPDESK_LIST_RULES` | List Rules | Tool to retrieve a list of rules configured in the account. Use after authentication when you need an overview of all automation rules. |
| `HELPDESK_LIST_SUBSCRIPTIONS` | List Subscriptions | Lists all billing subscriptions for the HelpDesk account, including active, expired, canceled, and future subscriptions. Subscriptions represent the currently selected plan (team or enterprise) and number of paid agent slots. Use this tool to retrieve subscription details including plan codes, pricing, billing cycles, trial periods, and subscription states. Both filter parameters are optional - omit them to retrieve all subscriptions. |
| `HELPDESK_LIST_TEAMS` | List Teams | Lists all teams in the HelpDesk account. Returns a comprehensive list of all teams configured in the HelpDesk account, including team IDs, names, settings, reply addresses, and integration configurations. Teams are organizational units that group agents and manage ticket routing. Use this action to: - Get team IDs for use in other API operations - Retrieve team names and configurations - Audit team settings and reply addresses - View team integration configurations No parameters required - returns all teams accessible to the authenticated account. |
| `HELPDESK_LIST_TICKETS` | List Tickets | List all tickets from a specified silo with cursor-based pagination support. This tool retrieves tickets from the helpdesk system with flexible sorting and pagination. Use this when you need to retrieve tickets for monitoring, reporting, or processing. Key features: - Retrieves tickets from specified silo (tickets, archive, trash, or spam) - Supports cursor-based pagination for efficient navigation through large datasets - Configurable page size (1-100 tickets per page) - Multiple sort options (createdAt, updatedAt, lastMessageAt) in ascending or descending order Common use cases: - Get all open tickets: Use default parameters with silo='tickets' - Browse archived tickets: Set silo='archive' - Paginate through results: Use next_value and next_id from previous response |
| `HELPDESK_LIST_TRUSTED_EMAILS` | List Trusted Emails | Tool to retrieve a list of trusted email addresses or domains. Use when managing your spam whitelist after authenticating. |
| `HELPDESK_LIST_VIEWS` | List Views | Tool to list agent views. Use when you need to retrieve saved ticket views after authentication. |
| `HELPDESK_LIST_WEBHOOKS` | List Webhooks | Lists all configured webhooks for the HelpDesk account. Webhooks allow you to receive real-time notifications about ticket events (creation, updates, status changes, assignments, etc.) sent as HTTP POST requests to your specified URLs. Use this action to view all active webhook configurations. |
| `HELPDESK_VIEW_AGENT` | View Agent | Retrieves comprehensive details for a specific agent in the HelpDesk system. Returns complete agent information including profile details, role assignments, team memberships, status, settings, and signature configuration. Use this action when you need detailed information about a specific agent after obtaining their ID from the list_agents action. |

## Supported Triggers

None listed.

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

The Helpdesk MCP server is an implementation of the Model Context Protocol that connects your AI agent to Helpdesk. It provides structured and secure access so your agent can perform Helpdesk 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 Helpdesk 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 Helpdesk.
```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 helpdesk.
- The router checks the user's Helpdesk connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Helpdesk.
- This approach keeps things lightweight and lets the agent request Helpdesk tools only when needed during the conversation.
```python
# Create a Helpdesk Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["helpdesk"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Helpdesk
const session = await composio.create(userId as string, {
  toolkits: ['helpdesk'],
});
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 Helpdesk. "
        "Help users perform Helpdesk 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 Helpdesk. Help users perform Helpdesk 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=["helpdesk"]
)
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 Helpdesk. "
        "Help users perform Helpdesk 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: ['helpdesk'],
  });
  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 Helpdesk. Help users perform Helpdesk 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 Helpdesk MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Helpdesk.
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 Helpdesk MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/helpdesk/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/helpdesk/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/helpdesk/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/helpdesk/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/helpdesk/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/helpdesk/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/helpdesk/framework/cli)
- [Google ADK](https://composio.dev/toolkits/helpdesk/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/helpdesk/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/helpdesk/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/helpdesk/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/helpdesk/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/helpdesk/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.
- [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality.
- [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.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Helpdesk MCP?

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

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

Yes, absolutely. You can configure which Helpdesk 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 Helpdesk 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)