# How to integrate Userflow MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Userflow MCP with OpenAI Agents SDK",
  "toolkit": "Userflow",
  "toolkit_slug": "userflow",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/userflow/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/userflow/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-03-29T06:54:25.318Z"
}
```

## Introduction

This guide walks you through connecting Userflow to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Userflow agent that can start a product tour for new users, add checklist item for onboarding task, update user segment to 'power users' through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Userflow account through Composio's Userflow MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Userflow with

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

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

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `USERFLOW_CREATE_OR_UPDATE_A_GROUP` | Create or Update a Group | Tool to create a new group or update an existing group (also referred to as companies in the Userflow UI). Use when you need to create a new group or update attributes of an existing group by providing the group ID. |
| `USERFLOW_CREATE_OR_UPDATE_A_USER` | Create or Update a User | Tool to create a new user or update an existing user in Userflow. Use when you need to synchronize user data from your back-end to Userflow. If the user ID exists, attributes will be merged; otherwise a new user is created. |
| `USERFLOW_DELETE_A_CONTENT_SESSION` | Delete a Content Session | Tool to permanently delete a content session including its associated progress and survey answers. Use when you need to remove a content session from the system. This action cannot be undone. This operation is idempotent and will succeed even if the content session already doesn't exist. |
| `USERFLOW_DELETE_A_GROUP` | Delete a Group | Tool to permanently delete a group including all their attributes, memberships and events. Use when you need to remove a group from the system. This action cannot be undone, but users who were members of the group will remain intact. This operation is idempotent and will succeed even if the group already doesn't exist. |
| `USERFLOW_DELETE_A_USER` | Delete a User | Tool to permanently delete a user including all their attributes, memberships, events and flow history. Use when you need to remove a user from the system. This action cannot be undone, but groups that the user was a member of will remain intact. This operation is idempotent and will succeed even if the user already doesn't exist. |
| `USERFLOW_GET_A_CONTENT_OBJECT` | Get a Content Object | Tool to retrieve details of a specific content object (flow, checklist, or launcher) by ID. Use when you need to get information about a single content object, including its draft and published versions. |
| `USERFLOW_GET_A_CONTENT_VERSION` | Get a Content Version | Tool to retrieve details of a specific content version by ID. Use when you need to get information about a versioned content object, including its questions (for surveys) or tasks (for checklists). |
| `USERFLOW_GET_A_GROUP` | Get a Group | Tool to retrieve details of a specific group (company) by group_id. Use when you need to get information about a group including their attributes, creation timestamp, and optionally expanded relationships like memberships and users. Note: Groups are called 'Companies' in the Userflow UI, but the API uses 'groups' terminology. |
| `USERFLOW_GET_A_USER` | Get a User | Tool to retrieve details of a specific user by user_id. Use when you need to get information about a user including their attributes, creation timestamp, and optionally expanded relationships like memberships and groups. |
| `USERFLOW_LIST_ATTRIBUTE_DEFINITIONS` | List Attribute Definitions | Tool to retrieve all attribute definitions for users and groups tracked by Userflow. Use when you need to see what attributes are being tracked. Attribute definitions are automatically created when new attributes are sent. |
| `USERFLOW_LIST_CONTENT` | List Content | Tool to retrieve all content (flows, checklists, and launchers) in your Userflow account. Use when you need to check what content is available for users to start in your application. |
| `USERFLOW_LIST_CONTENT_SESSIONS` | List Content Sessions | Tool to retrieve all content sessions tracking user interactions with content. Use when you need to see user journeys through flows, checklists, or launchers, including their progress and survey answers. |
| `USERFLOW_LIST_CONTENT_VERSIONS` | List Content Versions | Tool to retrieve all versions of content including survey questions and checklist tasks. Use when you need to see the version history of flows, checklists, or launchers to track changes over time. |
| `USERFLOW_LIST_EVENT_DEFINITIONS` | List Event Definitions | Tool to retrieve all event definitions tracked in Userflow. Use when you need to see what events are being tracked. Event definitions are automatically created when new events are tracked. |
| `USERFLOW_LIST_GROUPS` | List Groups | Tool to retrieve all groups (companies) in your Userflow account with pagination and filtering support. Use when you need to list groups or search for specific groups based on attributes. Note: Groups are called 'Companies' in the Userflow UI. |
| `USERFLOW_LIST_USERS` | List Users | Tool to retrieve a paginated list of all users. Use when you need to list users with optional filtering, sorting, and expansion of related objects like memberships and groups. |
| `USERFLOW_REMOVE_A_USER_FROM_A_GROUP` | Remove a User from a Group | Tool to remove a user from a group (group membership). Use when you need to revoke a user's membership in a specific group. This operation is idempotent and will succeed even if the user is not already a member of the group. |
| `USERFLOW_TRACK_AN_EVENT` | Track an Event | Tool to record a custom event for a user or group for analytics and personalization. Use when you need to track user actions or behaviors. Events can be associated with just a user, just a group, or both a user and a group. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.

## Frequently Asked Questions

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

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

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

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

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