# How to integrate Basin MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Basin MCP with OpenAI Agents SDK",
  "toolkit": "Basin",
  "toolkit_slug": "basin",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/basin/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/basin/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:02:11.959Z"
}
```

## Introduction

This guide walks you through connecting Basin to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Basin agent that can create a new form for event signups, delete an old feedback form from project, get details of your contact form through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Basin account through Composio's Basin MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Basin with

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

The Basin MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Basin account. It provides structured and secure access to your forms and projects, so your agent can perform actions like creating forms, managing webhooks, organizing projects, and retrieving domain or form details on your behalf.
- Instant form creation and management: Ask your agent to set up new forms with custom settings, associate them with projects, or delete forms you no longer need—all without manual coding.
- Seamless project organization: Let your agent create new Basin projects to group related forms or delete obsolete projects, keeping your workspace tidy and efficient.
- Automated webhook and integration setup: Have your agent add or remove webhooks for specific forms, so submissions are instantly routed to the right endpoints or external services.
- Detailed form and account insights: Retrieve rich metadata about any form or get a full list of domains linked to your Basin account, helping you monitor and audit your form infrastructure.
- Effortless notification management: Empower your agent to configure notification webhooks, ensuring critical submissions reach your team or external tools in real time.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BASIN_CREATE_FORM` | Create Form | Tool to create a new form in basin. use when you need to automate form setup with name, timezone, and project association; optionally configure redirect, notifications, or spam protection. |
| `BASIN_CREATE_FORM_WEBHOOK` | Create Form Webhook | Tool to create a new webhook for a specific form. use when you need to programmatically add a webhook once you have the form id and callback url confirmed. |
| `BASIN_CREATE_NOTIFICATION` | Create Notification | Tool to create a new notification webhook. use when you need to forward form submissions to an external service. |
| `BASIN_CREATE_PROJECT` | Create Project | Tool to create a new basin project. use when you need a new organizational container for forms. example: "create a project named marketing leads." |
| `BASIN_DELETE_FORM` | Delete Form | Tool to delete a form. use when permanently removing a form after it's no longer needed. ensure the form id is correct; this operation is irreversible. |
| `BASIN_DELETE_INTEGRATION` | Delete Integration | Tool to delete a form webhook integration. use when removing an obsolete integration by id. |
| `BASIN_DELETE_PROJECT` | Delete Project | Tool to delete a project. use when you need to remove a project after confirming its id. returns the deleted project's details. |
| `BASIN_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a specific webhook. use when you need to remove a webhook from a form after confirming its id. |
| `BASIN_GET_DOMAINS` | Get Domains | Tool to retrieve a list of all domains associated with the account. use after authentication when you need to display or verify your configured domains in basin. |
| `BASIN_GET_FORM_DETAILS` | Get Form Details | Tool to retrieve detailed information about a specific form. use when you have a form id and need its metadata. |
| `BASIN_GET_FORMS` | Get Forms | Tool to retrieve a list of all forms. use after authentication to fetch all your forms. |
| `BASIN_GET_PROJECT_DETAILS` | Get Project Details | Tool to retrieve detailed information about a specific project. use when you have a project id and need its metadata (name, created at, updated at). |
| `BASIN_GET_PROJECTS` | Get Projects | Tool to retrieve a list of all projects. use after authentication to fetch your project inventory. |
| `BASIN_GET_SUBMISSIONS` | Get Submissions | Tool to retrieve all submissions for a specific form. use when you need to list entries after obtaining the form id. |
| `BASIN_GET_WEBHOOKS` | Get Webhooks | Tool to retrieve all webhooks associated with a specific form. use after obtaining the form id. |
| `BASIN_UPDATE_INTEGRATION` | Update Integration | Tool to update a form webhook integration. use to modify settings of an existing integration. |
| `BASIN_UPDATE_PROJECT` | Update Project | Tool to update details of an existing project. use when you need to change a project's name after confirming the project id. example: "update project 123 to 'rebrand launch'". |
| `BASIN_UPDATE_WEBHOOK` | Update Webhook | Tool to update settings of an existing webhook for a form. use after obtaining the webhook's id. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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- [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease.
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- [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows.
- [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses.
- [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.
- [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams.
- [Persona](https://composio.dev/toolkits/persona) - Persona offers identity infrastructure to automate user verification and compliance. It helps organizations securely verify users and reduce fraud risk.

## Frequently Asked Questions

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

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

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

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

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