How to integrate Dock certs MCP with Pydantic AI

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Introduction

This guide walks you through connecting Dock certs to Pydantic AI using the Composio tool router. By the end, you'll have a working Dock certs agent that can list all credentials issued this month, delete a credential by its id, create a webhook for credential updates, retrieve details for a specific api key through natural language commands.

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

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

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

The Dock certs MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dock certs account. It provides structured and secure access to your verifiable credentials and decentralized identity management, so your agent can perform actions like issuing credentials, managing API keys, retrieving credential details, and automating webhook notifications on your behalf.

  • Instant credential issuance and management: Easily have your agent issue new verifiable credentials, retrieve detailed credential metadata, or delete outdated credentials as needed.
  • Secure API key lifecycle management: Direct your agent to create, list, retrieve, or delete API keys, ensuring secure programmatic access for your organization.
  • Automated webhook setup and oversight: Let your agent create or delete webhook endpoints, so you can receive real-time event notifications from Dock certs to your own systems.
  • Credential retrieval and decryption: Ask your agent to fetch specific credentials by ID, with options for full retrieval if protected by a password, ensuring secure and flexible access.
  • Tag and metadata cleanup: Enable your agent to delete obsolete tags or credential metadata, keeping your Dock certs environment organized and up to date.

Supported Tools & Triggers

Tools
Create API KeyTool to create an API key.
Create WebhookTool to create a webhook endpoint.
Delete API KeyTool to delete a specific API key.
Delete CredentialTool to delete a verifiable credential.
Delete TagTool to delete a specific tag.
Delete WebhookTool to delete a specific webhook.
Retrieve API KeyTool to retrieve details of an API key.
Retrieve API KeysTool to list all API keys.
Retrieve CredentialTool to retrieve a verifiable credential by its unique ID.
Retrieve CredentialsTool to retrieve a list of credential metadata.
Retrieve DID DocumentTool to retrieve a DID Document by its DID.
Retrieve Revocation RegistriesTool to retrieve a list of revocation registries.
Retrieve WebhookTool to retrieve a specific webhook's details.
Retrieve WebhooksTool to list configured webhooks.
Verify Credential or PresentationTool to verify a verifiable credential or presentation.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

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

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.

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 Dock certs
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

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

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 Dock certs
  • MCPServerStreamableHTTP connects to the Dock certs MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

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 Dock certs
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["dock_certs"],
    )
    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 Dock certs 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

Initialize the Pydantic AI Agent

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

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 Dock certs.\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
  • Dock certs API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

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 Dock certs and Pydantic AI:

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 Dock certs
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["dock_certs"],
    )
    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
    dock_certs_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[dock_certs_mcp],
        instructions=(
            "You are a Dock certs assistant. Use Dock certs 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 Dock certs.\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 Dock certs through Composio's Tool Router. With this setup, your agent can perform real Dock certs 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 + Dock certs 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 Dock certs MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Dock certs MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Dock certs MCP with Claude Agent SDK

Google ADK

Google ADK

Use Dock certs MCP with Google ADK

LangChain

LangChain

Use Dock certs MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Dock certs MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Dock certs MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Dock certs MCP with LlamaIndex

CrewAI

CrewAI

Use Dock certs MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Dock certs MCP?

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

Can I manage the permissions and scopes for Dock certs while using Tool Router?

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

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