# How to integrate Identitycheck MCP with Pydantic AI

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

## Introduction

This guide walks you through connecting Identitycheck to Pydantic AI 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 Pydantic AI 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/identitycheck/framework/open-ai-agents-sdk)
- [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:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Identitycheck
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Identitycheck workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## 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:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 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).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Identitycheck
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Identitycheck
- MCPServerStreamableHTTP connects to the Identitycheck MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to Identitycheck tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Identitycheck
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["identitycheck"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Identitycheck endpoint
- The agent uses GPT-5 to interpret user commands and perform Identitycheck operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
identitycheck_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[identitycheck_mcp],
    instructions=(
        "You are a Identitycheck assistant. Use Identitycheck tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Identitycheck API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Identitycheck.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Identitycheck
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["identitycheck"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    identitycheck_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[identitycheck_mcp],
        instructions=(
            "You are a Identitycheck assistant. Use Identitycheck tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Identitycheck.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You've built a Pydantic AI agent that can interact with Identitycheck through Composio's Tool Router. With this setup, your agent can perform real Identitycheck actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Identitycheck for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## How to build Identitycheck MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/identitycheck/framework/open-ai-agents-sdk)
- [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

- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [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.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [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.
- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [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.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools 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.
- [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.
- [Ashby](https://composio.dev/toolkits/ashby) - Ashby is an applicant tracking system that handles job postings, candidate management, and hiring analytics.
- [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up.
- [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 Pydantic AI?

Yes, you can. Pydantic AI 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)
