How to integrate Heights Platform MCP with Pydantic AI

This guide walks you through connecting Heights Platform to Pydantic AI using the Composio tool router. By the end, you'll have a working Heights Platform agent that can enroll students, track course progress, review your orders, grant access, and list submissions through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Heights Platform account through Composio's Heights Platform MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Heights Platform is an online course, digital product, and community platform for creators. It helps you sell learning products, manage students, track orders, and control access in one place.

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Introduction

This guide walks you through connecting Heights Platform to Pydantic AI using the Composio tool router. By the end, you'll have a working Heights Platform agent that can enroll students, track course progress, review your orders, grant access, and list submissions through natural language commands.

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

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

Also integrate Heights Platform 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 Heights Platform
  • 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 Heights Platform 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 Heights Platform MCP server, and what's possible with it?

The Heights Platform MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Heights Platform account. It provides structured and secure access to your students, learning products, orders, course progress, and submissions, so your agent can manage enrollments, control course access, review progress, track orders, and inspect student work on your behalf.

  • Student enrollment and account management: Have your agent enroll students, view their account details and learning activity, or end their paid membership.
  • Course and bundle access control: Let the agent grant or revoke student access to courses and bundles based on your instructions.
  • Learning progress and submission review: Direct your agent to check course completion, list assignment answers or project posts, and reset saved progress when needed.
  • Product and order tracking: Instruct your agent to list published courses, bundles, and digital products, then review orders by status, student, or creation time.
  • Student role administration: Have your agent list available course roles, grant a role to a student, or revoke one when responsibilities change.

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

Enroll Student

Create a student or update an existing student and mark them enrolled without granting course or bundle access.

Get Learning Product

Get detailed metadata for one course, bundle, or digital product by ID.

Get Order

Get one Heights order by its public unique order ID.

Get Student Course Progress

Get a student's overall and course-specific completion percentages for one course.

Get Student Details

Get a student by email, including account attributes, activity counts, paid orders, and enrolled courses.

Grant Student Access

Grant one course or bundle to a student by creating a zero-dollar paid order.

Grant Student Role

Grant one Heights role to a student, changing the student's authorization.

List Course Roles

List the Heights roles that can be granted to students.

List Learning Products

List published courses, bundles, or digital products in the connected Heights account.

List Orders

List Heights orders with optional status, student email, and creation-time filters, returning one page and an opaque continuation cursor.

List Students

List all Heights students one page at a time, or list the unpaginated students whose total completion is at least 100 percent.

List Student Submissions

List assignment answers or project posts submitted by students.

Reset Student Progress

Permanently erase a student's saved completion and progress records.

Revoke Student Access

Permanently remove one course or bundle from a student's existing orders.

Revoke Student Role

Revoke one Heights role from a student, changing the student's authorization.

Unenroll Student

End a student's paid membership by setting their Heights paying-student state to false.

FRAMEWORKS

How to build Heights Platform MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Heights Platform MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Heights Platform MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Heights Platform MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Heights Platform MCP with Claude Cowork

Codex logo

Codex

Use Heights Platform MCP with Codex

OpenClaw logo

OpenClaw

Use Heights Platform MCP with OpenClaw

Hermes logo

Hermes

Use Heights Platform MCP with Hermes

CLI logo

CLI

Use Heights Platform MCP with CLI

Google ADK logo

Google ADK

Use Heights Platform MCP with Google ADK

LangChain logo

LangChain

Use Heights Platform MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Heights Platform MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Heights Platform MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Heights Platform MCP with LlamaIndex

CrewAI logo

CrewAI

Use Heights Platform MCP with CrewAI

FAQ

Frequently asked questions

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

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

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