# How to integrate Apilio MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Apilio MCP with OpenAI Agents SDK",
  "toolkit": "Apilio",
  "toolkit_slug": "apilio",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/apilio/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/apilio/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:01:03.414Z"
}
```

## Introduction

This guide walks you through connecting Apilio to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Apilio agent that can list all boolean variables and their status, show me all your current logicblocks, fetch numeric variables for your thermostat through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Apilio account through Composio's Apilio MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Apilio with

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

The Apilio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Apilio account. It provides structured and secure access to your smart home variables, conditions, and automations, so your agent can perform actions like checking device states, evaluating logic, and managing automation variables on your behalf.
- Monitor boolean device states: Instantly fetch and review all your boolean variables, so your agent can check if devices are on or off, active or inactive.
- Track and evaluate automation conditions: Have your agent list and assess all available Apilio conditions, making it easy to troubleshoot or optimize home automation rules.
- Access and analyze logicblocks: Let your agent retrieve your logicblocks to understand, manage, or trigger complex automations across your connected devices and services.
- Review numeric variable values: Enable your agent to pull all numeric variables—like temperature, humidity, or energy usage—for smarter, context-aware automation decisions.
- Manage string variables for messaging and triggers: Allow your agent to fetch and utilize string variables, supporting scenarios like status messages, custom notifications, or dynamic automation triggers.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `APILIO_GET_BOOLEAN_VARIABLES` | Get Boolean Variables | Tool to fetch all boolean variables. use when you need the full list of boolean variables and their current states. |
| `APILIO_GET_CONDITIONS` | Get Conditions | Tool to fetch all evaluatable conditions. use when you need to list available conditions. |
| `APILIO_GET_LOGICBLOCKS` | Get Logicblocks | Tool to fetch all logicblocks of a user. use after authenticating with apilio api when you need to list available logicblocks. |
| `APILIO_GET_NUMERIC_VARIABLES` | Get Numeric Variables | Tool to fetch all numeric variables. use after authenticating the apilio api. |
| `APILIO_GET_STRING_VARIABLES` | Get String Variables | Tool to fetch all string variables. use after authenticating the apilio api. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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- [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale.
- [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals.
- [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps.
- [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination.
- [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code.
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## Frequently Asked Questions

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

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

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

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

---
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