# How to integrate Optimoroute MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Optimoroute MCP with OpenAI Agents SDK",
  "toolkit": "Optimoroute",
  "toolkit_slug": "optimoroute",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/optimoroute/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/optimoroute/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:21:00.158Z"
}
```

## Introduction

This guide walks you through connecting Optimoroute to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Optimoroute agent that can list all active drivers on duty today, show planned delivery routes for tomorrow, find unassigned orders for this week through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Optimoroute account through Composio's Optimoroute MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Optimoroute with

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

The Optimoroute MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Optimoroute account. It provides structured and secure access to your logistics and planning data, so your agent can perform actions like retrieving driver details, viewing planned delivery routes, checking route assignments, and monitoring driver status on your behalf.
- Live driver roster and status retrieval: Instantly fetch up-to-date information about all drivers, including their current availability and contact details.
- Planned route overview for any date: Have your agent pull a detailed list of all planned routes for a specific date, including stop information and route parameters.
- Monitor unassigned orders and route gaps: Easily identify orders that haven’t been assigned to a route, helping you spot scheduling bottlenecks.
- Centralized route and driver reporting: Aggregate route and driver data to power dashboards or daily logistics summaries, all via your AI agent.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `OPTIMOROUTE_CREATE_ORDER` | Create Order | Tool to create a new order or update an existing order in OptimoRoute. Use when you need to add delivery, pickup, or task orders to the system with location, time windows, and other constraints. |
| `OPTIMOROUTE_CREATE_OR_UPDATE_ORDERS` | Create or Update Orders | Tool to bulk create, update, or replace multiple orders at once without geocoding. Use when you need to add new orders or modify existing ones efficiently. Supports up to 500 orders per request. |
| `OPTIMOROUTE_DELETE_ALL_ORDERS` | Delete All Orders | Tool to remove all orders and planned routes for a specified date. Use when you need to clear orders for a specific date or delete all orders system-wide if no date is provided. |
| `OPTIMOROUTE_DELETE_ORDER` | Delete Order | Tool to remove a single order from the OptimoRoute system. Use when you need to delete a specific order by its orderNo. |
| `OPTIMOROUTE_DELETE_ORDERS` | Delete Orders | Tool to delete one or more orders from the system in bulk (max 500 per request). Use when you need to remove orders, either individually or in batch operations. |
| `OPTIMOROUTE_GET_COMPLETION_DETAILS` | Get Order Completion Details | Tool to retrieve completion details for one or more orders including proof of delivery data. Use when you need to check order completion status, timing details, and form data. |
| `OPTIMOROUTE_GET_DRIVERS` | Get Drivers | Tool to retrieve all drivers in the system. Use when you need up-to-date driver data including status and contact information. |
| `OPTIMOROUTE_GET_EVENTS` | Get Mobile Events | Tool to retrieve mobile events from drivers' field operations. Use when you need to track order completions, status changes (success, failed, on_duty, off_duty), and other field events for the currently active plan. |
| `OPTIMOROUTE_GET_ORDERS` | Get Orders | Tool to retrieve one or more orders from OptimoRoute. Use when you need detailed order information including location, time windows, and assignment details. |
| `OPTIMOROUTE_GET_PLANNING_STATUS` | Get Planning Status | Tool to retrieve the status of an active planning/optimization process. Use when you need to check the progress of a planning job by providing its ID. |
| `OPTIMOROUTE_GET_ROUTES` | Get Planned Routes | Tool to retrieve all planned routes for a given date. Use when you need a detailed view of routes including optional stops, route parameters, and unassigned orders. |
| `OPTIMOROUTE_GET_SCHEDULING_INFO` | Get Order Scheduling Info | Tool to retrieve scheduling information for a specific order. Use when you need to check if an order is scheduled and get details like driver assignment, timing, and position. |
| `OPTIMOROUTE_SEARCH_ORDERS` | Search Orders | Tool to search for orders in OptimoRoute based on criteria. Use when you need to find orders by date range, order identifiers, or order status. At least one of 'orders' or 'date_range' must be provided. |
| `OPTIMOROUTE_START_PLANNING` | Start Planning | Tool to start the planning/optimization process for a specified date or date range. Use when you need to generate optimized routes for orders and drivers. Requires orders to be created before planning can begin. |
| `OPTIMOROUTE_STOP_PLANNING` | Stop Planning | Tool to stop an active planning/optimization process. Use when you need to halt a running planning job by providing its ID. |
| `OPTIMOROUTE_UPDATE_DRIVER_PARAMETERS` | Update Driver Parameters | Tool to update driver parameters for a specific date including work times, vehicle assignment, and start/end locations. Use when you need to modify driver availability or routing constraints. Note that this unschedules existing routes for the driver on the specified date. |
| `OPTIMOROUTE_UPDATE_DRIVERS_PARAMETERS` | Update Drivers Parameters | Tool to update parameters of multiple drivers for specified dates in bulk (max 500 per request). Use when you need to modify driver configuration including work hours, vehicle assignments, and location settings. Note: Existing routes for the specified drivers and dates will be unscheduled. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

- [Claude Agent SDK](https://composio.dev/toolkits/optimoroute/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/optimoroute/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/optimoroute/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/optimoroute/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/optimoroute/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/optimoroute/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/optimoroute/framework/cli)
- [Google ADK](https://composio.dev/toolkits/optimoroute/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/optimoroute/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/optimoroute/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/optimoroute/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/optimoroute/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/optimoroute/framework/crew-ai)

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.

## Frequently Asked Questions

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

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

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

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

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