How to integrate NetLicensing MCP with CrewAI

This guide walks you through connecting NetLicensing to CrewAI 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 CrewAI 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.

NetLicensing logoNetLicensing
Api Key

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 CrewAI 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 CrewAI 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

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your NetLicensing connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for NetLicensing
  • Build a conversational loop where your agent can execute NetLicensing operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A NetLicensing connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to NetLicensing via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
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_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived NetLicensing MCP URL
6

Create a Composio Tool Router session for NetLicensing

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["netlicensing"])

url = session.mcp.url
What's happening:
  • You create a NetLicensing only session through Composio
  • Composio returns an MCP HTTP URL that exposes NetLicensing tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with NetLicensing and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["netlicensing"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to NetLicensing through Composio's Tool Router. The agent can perform NetLicensing operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
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.

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. CrewAI 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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