# How to integrate Identitycheck MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Identitycheck MCP with OpenAI Agents SDK",
  "toolkit": "Identitycheck",
  "toolkit_slug": "identitycheck",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/identitycheck/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/identitycheck/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:15:38.342Z"
}
```

## Introduction

This guide walks you through connecting Identitycheck to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Identitycheck agent that can check onboarding status for a specific user, list all successful onboardings from last week, fetch document content for a given onboarding through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Identitycheck account through Composio's Identitycheck MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Identitycheck with

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

The Identitycheck MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Identitycheck account. It provides structured and secure access to your verification workflows, so your agent can perform actions like checking onboarding status, fetching document content, managing notification endpoints, and retrieving configurations on your behalf.
- Instant onboarding status checks: Your agent can retrieve and monitor the progress or result of any onboarding process, keeping you updated in real time.
- Document content retrieval: Effortlessly fetch base64-encoded document content tied to a specific onboarding and document code for further analysis or archiving.
- Comprehensive configuration management: List, fetch, or delete identity verification configurations, giving you full control over your Identitycheck setup without manual dashboard work.
- Notification endpoint oversight: List, fetch, or remove notification endpoints to customize how and where you receive verification event updates.
- API health monitoring: Quickly verify API availability before performing operations, ensuring reliability and uptime for your verification workflows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `IDENTITYCHECK_CHECK_API_HEALTH` | Check API Health | Performs an API health check to verify endpoint availability and responsiveness. This tool sends an HTTP request to a specified endpoint and interprets a 200 OK response as indicating the API is UP. It handles both JSON and non-JSON responses (including HTML). Use this before other operations to confirm the API is reachable. |
| `IDENTITYCHECK_DELETE_CONFIGURATION` | Delete configuration | Tool to delete an existing configuration. Use when you need to remove a configuration by its unique code. |
| `IDENTITYCHECK_DELETE_NOTIFICATION_ENDPOINT` | Delete Notification Endpoint | Tool to delete a notification endpoint by its unique code. This operation is idempotent - it will succeed whether the endpoint exists or has already been deleted. Use when you need to remove a callback endpoint that receives webhook notifications for identity verification events. |
| `IDENTITYCHECK_FETCH_ALL_CONFIGURATIONS` | Fetch All Configurations | Tool to fetch all existing configurations. Use when you need to list all customer configurations after authentication. |
| `IDENTITYCHECK_FETCH_ALL_NOTIFICATION_ENDPOINTS` | Fetch all notification endpoints | Fetches all configured notification endpoints (webhooks) for the IdentityCheck SDK. Use this to list all callback URLs that receive onboarding event notifications (START_ONBOARDING, END_ONBOARDING). |
| `IDENTITYCHECK_FETCH_CONFIGURATION` | Fetch Configuration | Fetch a specific identity verification configuration by its code. Use this action when you need to: - Retrieve theme customizations (logo, colors, button styles) for a configuration - Get custom wordings/translations defined for different languages - Review configuration options like link validity, email sender name, or ID capture settings - Verify that a configuration exists before using it in an onboarding flow The configuration code is the unique identifier assigned when the configuration was created. |
| `IDENTITYCHECK_FETCH_NOTIFICATION_ENDPOINT` | Fetch Notification Endpoint | Tool to fetch a notification endpoint by its code. Use when you need the current configuration of a specific callback endpoint. |
| `IDENTITYCHECK_FETCH_ONBOARDINGS` | Fetch Onboardings | Retrieves identity verification onboarding sessions with comprehensive filtering and pagination. An onboarding represents a customer's identity verification journey, tracking their progress from link creation through document capture and verification completion. Each onboarding has a unique link sent via email/phone/none, and transitions through states: CREATED → CLICKED → CAPTURE_ONGOING → SUCCESS/ERROR/EXPIRED. Use this to: - Monitor verification sessions by status, date range, or customer identifiers - Track onboarding completion rates and error patterns - Retrieve specific onboardings by UID or business-specific identifiers - Analyze notification delivery methods and their effectiveness Returns paginated results with statistics (total results, distinct users, captures per document). All filter parameters are optional; omit them to retrieve all onboardings. Example: Find all failed verifications due to network errors in January 2024 |
| `IDENTITYCHECK_GET_DOCUMENT_CONTENT` | Get Document Content | Tool to retrieve base64-encoded document content. Use when you have an onboarding UID and document code. |
| `IDENTITYCHECK_RETRIEVE_ONBOARDING_STATUS` | Retrieve Onboarding Status | Retrieve the current status and results of an identity verification onboarding session. Use this tool to check the progress of an onboarding (CREATED, CLICKED, CAPTURE_ONGOING) or get final results (SUCCESS, ERROR, EXPIRED). Returns detailed analysis results, error causes, and CIS export data when available. |
| `IDENTITYCHECK_UPDATE_CONFIGURATION` | Update Configuration | Tool to update an existing configuration. Use when you need to modify properties of a configuration identified by code. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

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- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
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- [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide.
- [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.
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- [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.
- [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.
- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [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.
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- [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.

## Frequently Asked Questions

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

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

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

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

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