How to integrate CertSeal MCP with Pydantic AI

This guide walks you through connecting CertSeal to Pydantic AI using the Composio tool router. By the end, you'll have a working CertSeal agent that can issue certificates for completed training batch, list pending certseal certificate recipients, create webhook for issued certificates through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a CertSeal account through Composio's CertSeal MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

CertSeal logoCertSeal
Api Key

CertSeal is an API platform for issuing and managing verifiable digital certificates. Use it to automate trusted certificate workflows for recipients, batches, designs, and webhooks.

21 Tools

Introduction

This guide walks you through connecting CertSeal to Pydantic AI using the Composio tool router. By the end, you'll have a working CertSeal agent that can issue certificates for completed training batch, list pending certseal certificate recipients, create webhook for issued certificates through natural language commands.

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

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

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

The CertSeal MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your CertSeal account. It provides structured and secure access to your certificate workspace, so your agent can create batches, issue certificates, manage recipients, send certificate emails, and monitor webhook subscriptions on your behalf.

  • Certificate batch management: Have your agent create certificate batches from reusable designs, review existing batches, and archive or restore them as needed.
  • Certificate issuing and delivery: Instruct your agent to issue certificates to up to 100 recipients at once, with the option to send certificate emails immediately or later.
  • Recipient record management: Let the agent list, review, update, or delete certificate recipients and check their email delivery status.
  • Certificate lookup and verification: Direct your agent to find an issued certificate and review its recipient, batch, design, and completed certificate details.
  • Webhook event monitoring: Have your agent create, inspect, test, rotate signing secrets for, or delete webhook subscriptions for certificate events.

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 CertSeal
  • 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 CertSeal
  • MCPServerStreamableHTTP connects to the CertSeal 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 CertSeal
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["cert_seal"],
    )
    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 CertSeal 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
cert_seal_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[cert_seal_mcp],
    instructions=(
        "You are a CertSeal assistant. Use CertSeal tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the CertSeal endpoint
  • The agent uses GPT-5 to interpret user commands and perform CertSeal 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 CertSeal.\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
  • CertSeal 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 CertSeal 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 CertSeal
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["cert_seal"],
    )
    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
    cert_seal_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[cert_seal_mcp],
        instructions=(
            "You are a CertSeal assistant. Use CertSeal 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 CertSeal.\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 CertSeal through Composio's Tool Router. With this setup, your agent can perform real CertSeal 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 + CertSeal 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 CertSeal action and event your agent gets out of the box.

Create Batch

Create a persistent certificate batch from an existing CertSeal design and optional email template.

Create Webhook Subscription

Create a persistent webhook subscription for selected certificate events.

Delete Recipient

Permanently delete an issued recipient from an active batch.

Delete Webhook Subscription

Permanently delete a webhook subscription and stop future deliveries.

Get Batch

Get one active or archived certificate batch by ID.

Get Certificate

Look up an issued certificate using either its human-readable certificate ID or its public-viewer share token, and return its recipient, batch, design, and resolved variables.

Get Current Workspace

Verify the connected CertSeal API key and return the workspace ID and username it belongs to.

Get Recipient

Get one issued certificate recipient record by batch ID and recipient ID.

Get Webhook Subscription

Get one webhook subscription by ID.

Issue and Send Certificates

Atomically issue certificates for 1-100 recipients and queue email delivery for every created certificate.

Issue Certificates

Atomically issue certificates without sending email for 1-100 recipients in one active batch.

List Batches

Return one newest-first page of certificate batches in the connected workspace, optionally filtered by archive state.

List Designs

Return one newest-first page of reusable certificate designs.

List Recipients

Return one page of issued certificate recipients in a batch, optionally filtered by email delivery status.

List Webhook Subscriptions

Return one newest-first page of webhook subscriptions.

Rotate Webhook Signing Secret

Immediately invalidate a webhook subscription's current signing secret and replace it.

Send Certificate Emails

Sequentially queue real certificate emails for 1-25 existing recipients in one active batch.

Send Recipient Certificate Email

Queue asynchronous certificate email delivery to one recipient.

Set Batch Archived State

Idempotently archive or unarchive a batch.

Test Webhook Subscription

Enqueue one synthetic signed event through CertSeal's normal webhook dispatcher.

Update Recipient

Partially update an issued certificate recipient.

FAQ

Frequently asked questions

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

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

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