How to integrate Persona MCP with Pydantic AI

This guide walks you through connecting Persona to Pydantic AI using the Composio tool router. By the end, you'll have a working Persona agent that can get all pending verification cases, trigger a new kyc verification for user, list users who failed identity checks through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Persona account through Composio's Persona MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Persona offers identity infrastructure to automate user verification and compliance. It helps organizations securely verify users and reduce fraud risk.

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Introduction

This guide walks you through connecting Persona to Pydantic AI using the Composio tool router. By the end, you'll have a working Persona agent that can get all pending verification cases, trigger a new kyc verification for user, list users who failed identity checks through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Persona account through Composio's Persona MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Persona with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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 Persona
  • 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 Persona 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 Persona MCP server, and what's possible with it?

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

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Persona
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Persona
  • MCPServerStreamableHTTP connects to the Persona MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

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 Persona
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["persona"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Persona 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
persona_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[persona_mcp],
    instructions=(
        "You are a Persona assistant. Use Persona tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Persona endpoint
  • The agent uses GPT-5 to interpret user commands and perform Persona operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

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 Persona.\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()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Persona API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

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

Complete Code

Here's the complete code to get you started with Persona and Pydantic AI:

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 Persona
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["persona"],
    )
    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
    persona_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[persona_mcp],
        instructions=(
            "You are a Persona assistant. Use Persona 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 Persona.\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 Persona through Composio's Tool Router. With this setup, your agent can perform real Persona 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 + Persona for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Persona action and event your agent gets out of the box.

Add Tag to Account

Tool to add a tag to an Account in Persona.

Archive Browser Fingerprint List Item

Tool to archive a browser fingerprint list item in Persona.

Archive Country List Item

Tool to archive a Country List Item by ID.

Archive a Geolocation List Item

Tool to archive a geolocation list item from Persona.

Archive Government ID Number List Item

Tool to archive a Government ID Number List Item.

Archive a Name List Item

Tool to archive a name list item in Persona.

Archive a webhook

Tool to archive a Persona webhook by its ID.

Archive Email Address List Item

Tool to archive an Email Address List Item in Persona.

Archive IP Address List Item

Tool to archive an IP address list item in Persona.

Archive Phone Number List Item

Tool to archive a phone number list item in Persona.

Archive String List Item

Tool to archive a String List Item in Persona.

Clone Webhook

Tool to clone an existing Persona webhook.

Consolidate Accounts

Tool to consolidate multiple source accounts into a single destination account.

Create an Account

Tool to create an account in Persona.

Create IP Address List Item

Tool to create an IP Address List Item in Persona.

Create Country List Item

Tool to create a country list item in Persona.

Create Generic Document

Tool to create a generic document in Persona.

Create Email Address List Item

Tool to create an email address list item in Persona.

Create Government ID Number List Item

Tool to create a new government ID number list item in Persona.

Create Name List Item

Tool to create a new name list item in Persona.

Create Phone Number List Item

Tool to create a phone number list item in Persona.

Create String List Item

Tool to create a String List Item in Persona.

Create Webhook

Tool to create a new webhook in Persona.

Disable Webhook

Tool to disable a webhook in Persona.

Enable Webhook

Tool to enable a webhook in Persona.

Expire Inquiry Sessions

Tool to expire all inquiry sessions for specified inquiry IDs.

Import Email Address Lists

Tool to import email addresses into a list from a CSV file.

Import IP Address Lists

Tool to import IP address lists into Persona.

Import Name Lists

Tool to import name lists to Persona.

Import Phone Number Lists

Tool to import phone number lists into Persona.

List All Accounts

Tool to list all accounts in Persona.

List All API Logs

Tool to list all API logs in Persona.

List All Cases

Tool to list all cases in Persona.

List All Devices

Tool to list all devices filtered by inquiry session ID.

List all Events

Tool to list all events from Persona.

List all Importers

Tool to list all importers in Persona.

List All Inquiries

Tool to list all inquiries in Persona.

List All Inquiry Sessions

Tool to list all inquiry sessions in Persona.

List All Lists

Tool to list all lists in Persona.

List All Rate Limits

Tool to list all rate limits in Persona.

List All Reports

Tool to list all reports in Persona.

List All Transactions

Tool to list all transactions in Persona.

List All Webhooks

Tool to list all webhooks in Persona.

List all Workflow Runs

Tool to list all workflow runs in Persona.

Redact an Account

Tool to permanently redact an account in Persona.

Remove Account Tag

Tool to remove a tag from a Persona Account.

Retrieve a Country List Item

Tool to retrieve a country list item by ID in Persona.

Retrieve a Geolocation List Item

Tool to retrieve a geolocation list item from Persona.

Retrieve an Account

Tool to retrieve an account in Persona.

Retrieve a Name List Item

Tool to retrieve a Name List Item in Persona.

Retrieve an Event

Tool to retrieve an event in Persona.

Retrieve an Importer

Tool to retrieve a specific importer in Persona.

Retrieve IP Address List Item

Tool to retrieve an IP Address List Item in Persona.

Retrieve an API Log

Tool to retrieve an API log in Persona.

Retrieve a String List Item

Tool to retrieve a string list item by ID in Persona.

Retrieve a Webhook

Tool to retrieve a webhook by its ID.

Retrieve Browser Fingerprint List Item

Tool to retrieve a browser fingerprint list item in Persona.

Retrieve a Document

Tool to retrieve a document from Persona.

Retrieve Generic Document

Tool to retrieve a generic document in Persona.

Retrieve Email Address List Item

Tool to retrieve an Email Address List Item in Persona.

Retrieve Government ID Number List Item

Tool to retrieve a Government ID Number List Item in Persona.

Retrieve Phone Number List Item

Tool to retrieve a phone number list item in Persona.

Rotate Webhook Secret

Tool to rotate a webhook's secret in Persona.

Search Accounts

Tool to search accounts in Persona using flexible query criteria.

Search Cases

Tool to search cases in Persona using advanced query filters with boolean logic.

Set Tags on Account

Tool to set tags on a Persona Account.

Update an Account

Tool to update an account in Persona.

Update a Webhook

Tool to update a webhook in Persona.

Update Generic Document

Tool to update a generic document in Persona.

FRAMEWORKS

How to build Persona MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Persona MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Persona MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Persona MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Persona MCP with Claude Cowork

Codex logo

Codex

Use Persona MCP with Codex

OpenClaw logo

OpenClaw

Use Persona MCP with OpenClaw

Hermes logo

Hermes

Use Persona MCP with Hermes

CLI logo

CLI

Use Persona MCP with CLI

Google ADK logo

Google ADK

Use Persona MCP with Google ADK

LangChain logo

LangChain

Use Persona MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Persona MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Persona MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Persona MCP with LlamaIndex

CrewAI logo

CrewAI

Use Persona MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Persona MCP server, the agents and LLMs can only access a fixed set of Persona tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Persona and many other apps based on the task at hand, all through a single MCP endpoint.

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 Persona tools.

Yes, absolutely. You can configure which Persona 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.

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 Persona data and credentials are handled as safely as possible.

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Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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