# How to integrate Expofp MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Expofp MCP with OpenAI Agents SDK",
  "toolkit": "Expofp",
  "toolkit_slug": "expofp",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/expofp/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/expofp/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:11:02.339Z"
}
```

## Introduction

This guide walks you through connecting Expofp to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Expofp agent that can add new category 'workshops' to event 1023, list all extras available for expo 2048, update category #7 name to 'vip sessions' through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Expofp account through Composio's Expofp MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Expofp with

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

The Expofp MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Expofp account. It provides structured and secure access to your expo and floor plan data, so your agent can manage categories, list expo details, and streamline event organization tasks for you.
- Seamless expo management: Instantly list all expos linked to your Expofp account, making it easy to keep track of multiple events.
- Effortless category creation: Direct your agent to add new categories to any expo, supporting better organization and event structure in seconds.
- Category updates and edits: Quickly update existing category names or details for any event, so your event structure always matches your latest needs.
- Streamlined category removal: Have the agent remove outdated or unnecessary categories from your expos, keeping your event data clean and relevant.
- Comprehensive extras listing: Retrieve all extras for a specific expo, helping you review and manage additional event options or features at a glance.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `EXPOFP_ADD_CATEGORY` | Add Category | Tool to add a new category to an expo. Use when you have both the expo event ID and a valid API token. Example: "Add category 'Keynotes' to event 2655." |
| `EXPOFP_DELETE_EXHIBITOR` | Delete Exhibitor | Tool to delete an exhibitor from an expo by their ID. Use when you have the exhibitor ID and a valid API token. |
| `EXPOFP_DELETE_SESSION_SPEAKERS` | Delete Session Speakers | Tool to delete session speakers by their IDs. Use when you need to remove one or more session speakers from an expo. |
| `EXPOFP_DELETE_SESSION_TRACKS` | Delete Session Tracks | Tool to delete session tracks by IDs from an expo. Use when you need to remove multiple session tracks. Provide the expo ID, API token, and list of session track IDs to delete. |
| `EXPOFP_GET_BULK_READ_EXHIBITORS_TEMPLATE` | Get Bulk Read Exhibitors Template | Tool to get the template structure for bulk reading exhibitors from an expo. Use when you need to understand the required format for bulk importing exhibitor data. |
| `EXPOFP_GET_OFFLINE_ARCHIVE` | Get Offline Archive | Lightweight retrieval of offline archive state that never starts a build. Returns the current known ExpoOfflineState for the specified version if available, or null if not. Use when you need to check the status of an existing archive without triggering a new build. |
| `EXPOFP_GET_OR_CREATE_OFFLINE_ARCHIVE` | Get or Create Offline Archive | Retrieve the offline archive state for a specific expo version. If the archive does not exist and the requested version is 'latest', the server automatically starts the creation process and returns the build state. Use this action when you need to download an expo for offline use or check the status of an ongoing archive build. The optional waitseconds parameter enables server-side polling for synchronous workflows. |
| `EXPOFP_GET_SESSION_TRACKS` | Get Session Tracks | Retrieve all session tracks for a specific expo event. Session tracks are categories or themes used to organize sessions within an expo, such as "Technology", "Marketing", "Product", etc. This action returns the complete list of tracks with their IDs, names, external IDs, and color codes. Use this action when you need to categorize or filter sessions by track. Example: "Get all session tracks for expo 32971" |
| `EXPOFP_LIST_ALL_EXPO_EXTRAS` | List All Expo Extras | Retrieves all extras (additional services/items) available for a specific expo event, including general extras and booth-specific extras with exhibitor details. Use this action to get a comprehensive list of purchasable extras for an event. Example: "List all extras for event 2655." |
| `EXPOFP_LIST_ALL_EXPOS` | List All Expos | Retrieve all expos (events/exhibitions) accessible with the authenticated ExpoFP account. This action fetches a complete list of expos with their details including event IDs, names, descriptions, dates, time zones, locations, and status. The expo IDs returned can be used with other ExpofP actions that require an event ID parameter. No input parameters are required - the action uses the authentication token to determine which expos the user has access to. Example usage: - "List all my expos" - "Show me all available events" - "Get all expo IDs" |
| `EXPOFP_LIST_CATEGORIES` | List Categories | Retrieve all categories for a specific expo event. This action fetches a complete list of categories with their IDs and names for a given expo. The category IDs returned can be used with other ExpofP actions that require a category ID parameter (e.g., updating or removing categories). Use this action when you need to see all categories configured for an expo. Example: "List all categories for event 32971" or "Show me categories for expo 2655". |
| `EXPOFP_LIST_EXHIBITORS` | Bulk Read Exhibitors | Tool to bulk read exhibitors from an expo with customizable response template. This action retrieves all exhibitors from a specified expo. You can optionally provide a response template to control which fields are returned, or pass null/omit the template to receive all available exhibitor data. Use when you need to fetch exhibitor information from an expo event. The expo ID can be obtained from the List All Expos action. |
| `EXPOFP_REMOVE_CATEGORY` | Remove Category | Tool to remove a category from an expo. Use when you have the category ID and a valid API token. Example: "Remove category #123." |
| `EXPOFP_SET_EXHIBITOR_LOGO` | Set Exhibitor Logo | Tool to set or remove an exhibitor logo using multipart/form-data. Use when you need to upload a logo image file or provide an image URL for an exhibitor, or remove an existing logo by passing null for the image file. |
| `EXPOFP_UPDATE_CATEGORY` | Update Category | Tool to update an existing category. Use when you have the category ID and a valid API token. Example: "Update category #1 name to 'Category Blue'." |
| `EXPOFP_UPDATE_EXHIBITOR` | Update Exhibitor | Tool to update an existing exhibitor. Use when you have the exhibitor ID and want to modify exhibitor details. Only fields provided in the request are updated; undefined fields remain unchanged. |
| `EXPOFP_UPSERT_SESSIONS` | Upsert Sessions | Tool to create or update sessions in bulk for an expo event. Sessions are upserted based on externalId if provided - existing sessions with matching externalId are updated, otherwise new sessions are created. Use this action when you need to add new sessions to an event or update existing sessions. Example: "Add a keynote session to expo 32971" or "Update session details for external ID 'session-001'." |
| `EXPOFP_UPSERT_SESSION_TRACKS` | Upsert Session Tracks | Tool to create or update session tracks in bulk for an expo. Use when you need to add new tracks or modify existing ones. Provide an id in the track object to update; omit it to create new. Example: "Create a new session track called 'Workshops' with color #FF5733." |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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

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

Yes, absolutely. You can configure which Expofp 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 Expofp 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)