# How to integrate Botsonic MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Botsonic MCP with OpenAI Agents SDK",
  "toolkit": "Botsonic",
  "toolkit_slug": "botsonic",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/botsonic/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/botsonic/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:03:47.192Z"
}
```

## Introduction

This guide walks you through connecting Botsonic to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Botsonic agent that can list all bots in your account, export all conversation threads for review, bulk upload website urls to train a bot through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Botsonic account through Composio's Botsonic MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Botsonic with

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

The Botsonic MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Botsonic account. It provides structured and secure access to your chatbots, enabling your agent to manage bots, upload training data, oversee conversations, and handle FAQs with ease.
- Bulk training data uploads: Effortlessly upload multiple URLs or documents to your bot for rapid and comprehensive training updates.
- Bot management and retrieval: Instantly list all your bots, fetch detailed data, or export entire bot assets for backup or review.
- Conversation analytics and monitoring: Retrieve all conversations related to any bot—perfect for analyzing user interactions or tracking support queries.
- FAQ and starter question management: List, update, or remove FAQ entries and starter questions to keep your chatbot responses relevant and up to date.
- Data and file cleanup: Direct your agent to delete outdated files or bot data, ensuring your chatbot remains efficient and well-organized.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BOTSONIC_BULK_UPLOAD_URLS` | Bulk Upload Bot URLs | Tool to bulk upload URLs for bot training. Use when you need to upsert multiple document URLs into a bot in one request. |
| `BOTSONIC_CREATE_STARTER_QUESTION` | Create Starter Question | Tool to create a new starter question for the bot. Use when you need to add a preset question-answer pair that users can quickly select. |
| `BOTSONIC_DELETE_STARTER_QUESTION` | Delete Starter Question | Deletes a specific starter question from a bot using its unique identifier. This operation is destructive and permanent. First retrieve available starter questions using the Get All Starter Questions action to obtain valid IDs before deletion. |
| `BOTSONIC_DELETE_UPLOADED_FILE` | Delete Uploaded File | Delete a specific uploaded file/bot data entry by its unique identifier. This permanently removes the file from the bot's training data. Use this action when you need to clean up outdated content, remove incorrect data, or manage bot training materials. The file ID can be obtained using the Get All Bot Data action. Returns the full deleted object details including metadata, status, and timestamps. |
| `BOTSONIC_GET_ALL_BOT_DATA` | Get All Bot Data | Tool to retrieve all data associated with the bot, including files and resources. Use when you need a comprehensive export of bot assets for backup or inspection. |
| `BOTSONIC_GET_ALL_BOTS` | Get All Bots | Retrieve all bots associated with your account. Supports pagination, search, and sorting to efficiently manage and query bot configurations. Use this when you need to list, search, or filter existing bots. |
| `BOTSONIC_GET_ALL_CONVERSATIONS` | Get All Conversations | Tool to retrieve all conversations related to the bot. Use after authentication when you need a paginated list of conversation threads for review or analytics. |
| `BOTSONIC_GET_ALL_CONVERSATIONS_WITH_SOURCE` | Get All Conversations With Source | Tool to retrieve all conversations with source information. Use when you need detailed conversation data including source tracking, user form data, and comprehensive metadata for analytics or conversation management. |
| `BOTSONIC_GET_ALL_FAQS` | Get All FAQs | Retrieve all frequently asked questions (FAQs) associated with your bot in paginated format. Returns a list of FAQ entries with their questions, answers, status, and metadata. Supports filtering by search query, sorting by various attributes, and pagination controls. Use this when you need to list, review, or manage bot FAQ entries. |
| `BOTSONIC_GET_ALL_STARTER_PRESETS` | Get All Starter Presets | Tool to retrieve all starter presets for a bot by bot ID. Use when you need to fetch the bot's welcome message and starter questions configured for user interactions. |
| `BOTSONIC_GET_ALL_STARTER_QUESTIONS` | Get All Starter Questions | Tool to retrieve all starter questions. Use after authenticating when you need to list the bot’s opening prompts. |
| `BOTSONIC_UPDATE_STARTER_QUESTION` | Update Starter Question | Tool to update an existing starter question by its unique identifier. Use after confirming the ID and desired updates. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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## Frequently Asked Questions

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

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

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

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)