How to integrate NetLicensing MCP with Pydantic AI

This guide walks you through connecting NetLicensing to Pydantic AI using the Composio tool router. By the end, you'll have a working NetLicensing agent that can create products, add licensees, issue licenses, manage license sessions, and delete resources through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a NetLicensing account through Composio's NetLicensing MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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NetLicensing is a software license management platform for products, license models, licensees, licenses, and commerce workflows. It helps teams control entitlements, automate licensing operations, and manage software monetization in one place.

21 Tools

Introduction

This guide walks you through connecting NetLicensing to Pydantic AI using the Composio tool router. By the end, you'll have a working NetLicensing agent that can create products, add licensees, issue licenses, manage license sessions, and delete resources through natural language commands.

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

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

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

The NetLicensing MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your NetLicensing account. It provides structured and secure access to your products, licensing models, license templates, licensees, licenses, bundles, and transactions, so your agent can configure licensing structures, assign licenses, validate licensees, manage floating sessions, and maintain licensing records on your behalf.

  • Product and licensing setup: Have your agent create and update products, configure product modules, review supported licensing options, and define license templates.
  • Licensee and license provisioning: Let the agent create licensees, assign licenses from templates or bundles, update license details, and transfer eligible licenses between licensees.
  • License validation and floating sessions: Direct your agent to validate active licenses and check floating license sessions in or out for a licensee.
  • Bundle and commerce management: Instruct your agent to create or update purchasable bundles and issue their associated licenses to licensees.
  • Licensing record administration: Have your agent list or retrieve products, modules, templates, licensees, licenses, transactions, and bundles, or delete resources you no longer need.

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

Check In Licensee Session

Return and release a NetLicensing floating-license session for a licensee and return the validation results and provider cache TTL when supplied.

Check Out Licensee Session

Allocate a NetLicensing floating-license session for a licensee and return the validation results with their cache TTL.

Create Bundle

Create a purchasable NetLicensing bundle from existing license templates.

Create License

Assign a license from a license template to a licensee.

Create Licensee

Create a licensee under a product so licenses can be assigned and validated.

Create Licenses From Bundle

Create one or more licenses for a licensee from the license templates associated with a bundle.

Create License Template

Create a license template under a product module using a supported license type.

Create Product

Create a NetLicensing product that can contain product modules and licensees.

Create Product Module

Create a licensing-model-specific module under a NetLicensing product.

Delete Resource

Permanently delete a product, product module, license template, licensee, license, or bundle by number.

Get Resource

Get one product, product module, license template, licensee, license, transaction, or bundle by its NetLicensing number.

List Licensing Options

Return the supported licensing models and license types used when configuring product modules and license templates.

List Resources

List one page of products, product modules, license templates, licensees, licenses, transactions, or bundles for the connected vendor.

Transfer Licenses

Irreversibly transfer all eligible licenses from a source licensee marked for transfer to a target licensee in the same product.

Update Bundle

Update selected bundle details or replace its complete set of license templates.

Update License

Update a license's identity/number, name, parent-feature relationship, status, timing, pricing, visibility, or quantity.

Update Licensee

Update selected status, identity, transfer, or non-secret custom properties of a licensee.

Update License Template

Update selected pricing, visibility, limits, or license behavior on a license template.

Update Product

Update selected properties of an existing product; supplying discounts replaces the complete discount set, and an empty discounts list clears all discounts by sending one empty discount field.

Update Product Module

Update selected properties and model-specific settings of a product module.

Validate Licensee

Validate a NetLicensing licensee's active licenses and return the validation results with their cache TTL.

FRAMEWORKS

How to build NetLicensing MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use NetLicensing MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use NetLicensing MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use NetLicensing MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use NetLicensing MCP with Claude Cowork

Codex logo

Codex

Use NetLicensing MCP with Codex

OpenClaw logo

OpenClaw

Use NetLicensing MCP with OpenClaw

Hermes logo

Hermes

Use NetLicensing MCP with Hermes

CLI logo

CLI

Use NetLicensing MCP with CLI

Google ADK logo

Google ADK

Use NetLicensing MCP with Google ADK

LangChain logo

LangChain

Use NetLicensing MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use NetLicensing MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use NetLicensing MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use NetLicensing MCP with LlamaIndex

CrewAI logo

CrewAI

Use NetLicensing MCP with CrewAI

FAQ

Frequently asked questions

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

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

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Managed auth, hosted MCP servers, and every NetLicensing tool your agent needs.Free to start.

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