# How to integrate Rocketadmin MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Rocketadmin MCP with OpenAI Agents SDK",
  "toolkit": "Rocketadmin",
  "toolkit_slug": "rocketadmin",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/rocketadmin/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/rocketadmin/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-03-29T06:48:20.110Z"
}
```

## Introduction

This guide walks you through connecting Rocketadmin to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Rocketadmin agent that can list all records in orders table, update user email in rocketadmin database, delete inactive users from customers table through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Rocketadmin account through Composio's Rocketadmin MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Rocketadmin with

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

The Rocketadmin MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Rocketadmin account. It provides structured and secure access so your agent can perform Rocketadmin operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ROCKETADMIN_CHECK_API_KEY` | Check API Key | Tool to validate whether an API key is legitimate and active. Use when you need to verify that the current API key is valid before performing other operations. |
| `ROCKETADMIN_DELETE_TABLE_ROW` | Delete Table Row by Primary Key | Tool to delete a single row from a database table by primary key. Use when you need to remove a specific row identified by its ID. This is an API+ feature. |
| `ROCKETADMIN_GET_COMPANY_INVITE_VERIFY` | Verify Company Invitation Link | Tool to check if a company invitation verification link is available and valid. Use when you need to verify a company invitation token before accepting the invitation. |
| `ROCKETADMIN_GET_CONNECTIONS` | Get All Connections | Tool to retrieve all database connections where the user has access. Use when you need to discover available connections in the user's workspace. |
| `ROCKETADMIN_GET_CONNECTION_TABLES` | Get Connection Tables | Tool to retrieve all tables from a database connection. Use when you need to discover available tables in a specific connection. |
| `ROCKETADMIN_GET_CONNECTION_TABLES_V2` | Get Connection Tables V2 | Tool to retrieve all tables in a database connection organized with category information. Use when you need to discover available tables in a specific connection. |
| `ROCKETADMIN_VALIDATE_CONNECTION_TOKEN` | Validate Connection Token | Tool to validate if connection agent token is valid. Use when you need to check if the current connection token is still authorized and active. |
| `ROCKETADMIN_GET_HELLO` | Get Hello | Tool to retrieve a hello greeting message from the Rocketadmin API. Use when testing API connectivity or getting a simple greeting response. |
| `ROCKETADMIN_GET_SAAS_USERS_BY_EMAIL` | Get SaaS Users by Email | Tool to retrieve user information by email address. Use when you need to get details about a specific user by their email. |
| `ROCKETADMIN_GET_TABLE_ROW_BY_PRIMARY_KEY` | Get Table Row by Primary Key | Tool to retrieve a single row from a database table using its primary key. Use when you need to fetch specific row data by its ID from a RocketAdmin connection. |
| `ROCKETADMIN_GET_ALL_TABLE_ROWS` | Get All Table Rows | Tool to retrieve all rows from a database table with support for pagination, filtering, and sorting. Use when you need to fetch multiple rows from a RocketAdmin connection table. |
| `ROCKETADMIN_GET_TABLE_STRUCTURE` | Get Table Structure | Tool to retrieve the structural information of a database table including columns, data types, constraints, and relationships. Use when you need to understand the schema of a specific table in a RocketAdmin connection. |
| `ROCKETADMIN_VERIFY_USER_EMAIL` | Verify User Email | Tool to verify a user's email address using a verification token. Use when you need to confirm a user's email address after registration or email change. |
| `ROCKETADMIN_EXPORT_TABLE_AS_CSV` | Export Table as CSV | Tool to export table data as a CSV file from RocketAdmin. Use when you need to download table data in CSV format. This is an API+ feature that exports the specified table with optional filtering, pagination, and sorting. |
| `ROCKETADMIN_ADD_ROW_TO_TABLE` | Add Row to Table | Tool to add a new row to a database table in RocketAdmin. Use when you need to insert data into a specific table. This is an API+ feature that creates a new row with the provided field values. |
| `ROCKETADMIN_FIND_TABLE_ROWS_WITH_FILTERS` | Find Table Rows with Filters | Tool to retrieve all rows from a database table with filter parameters in the request body. Use when you need to fetch rows with complex filtering conditions. This is an API+ feature that supports advanced filtering with operators like equals, greater than, less than, like, in, etc. |
| `ROCKETADMIN_UPDATE_TABLE_ROW_BY_PRIMARY_KEY` | Update Table Row by Primary Key | Tool to update a row in a database table by its primary key. Use when you need to modify existing row data in a RocketAdmin connection. This is an API+ feature. |
| `ROCKETADMIN_DELETE_MULTIPLE_TABLE_ROWS` | Delete Multiple Table Rows | Tool to delete multiple rows from a table by primary key. Use when you need to batch delete rows identified by their primary keys. This is an API+ feature. |
| `ROCKETADMIN_UPDATE_MULTIPLE_TABLE_ROWS` | Update Multiple Table Rows | Tool to update multiple rows in a table by primary key. Use when you need to batch update rows identified by their primary keys with the same new values. This is an API+ feature. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

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- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
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- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

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

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

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

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

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