# Labs64 netlicensing

```json
{
  "name": "Labs64 netlicensing",
  "slug": "labs64_netlicensing",
  "url": "https://composio.dev/toolkits/labs64_netlicensing",
  "markdown_url": "https://composio.dev/toolkits/labs64_netlicensing.md",
  "logo_url": "https://logos.composio.dev/api/labs64_netlicensing",
  "categories": [
    "developer tools & devops"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-09-24T11:13:56.991Z"
}
```

![Labs64 netlicensing logo](https://logos.composio.dev/api/labs64_netlicensing)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Labs64 netlicensing MCP or direct API to create licenses, validate entitlements, manage customer accounts, and automate license distribution through natural language.

## Summary

Labs64 NetLicensing is a license management platform for software vendors and developers. It helps you automate software license creation, distribution, and compliance tracking.

## Categories

- developer tools & devops

## Toolkit Details

- Tools: 2

## Images

- Logo: https://logos.composio.dev/api/labs64_netlicensing

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Labs64 NetLicensing.
  - Setup:
    - Configure Api Key credentials for Labs64 NetLicensing.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Show all active licenses for my app
- List software products available to license
- Filter licenses expiring this month
- Get product names and their license counts

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LABS64_NETLICENSING_LICENSE_LIST` | List Licenses | Tool to list all licenses. Use when you need to retrieve license records with optional filtering and pagination. |
| `LABS64_NETLICENSING_PRODUCT_LIST` | List Products | Tool to retrieve a list of all products. Use after authenticating with NetLicensing. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Labs64 netlicensing
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["labs64_netlicensing"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["labs64_netlicensing"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Labs64 netlicensing tools with your agent

Send a request, execute the Labs64 netlicensing tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "List all licenses for product \"AcmeApp\""}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List all licenses for product \"AcmeApp\"" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Labs64 netlicensing and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["labs64_netlicensing"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["labs64_netlicensing"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Labs64 netlicensing request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Labs64 netlicensing tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("List all licenses for product \"AcmeApp\"")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List all licenses for product \"AcmeApp\"",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native Labs64 netlicensing Integration

- Supports both Labs64 netlicensing MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Labs64 netlicensing data

### 2. Managed Auth

- Built-in API key handling and secure credential storage
- Central place to manage, scope, and revoke Labs64 netlicensing access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Labs64 netlicensing
- Scoped, least privilege access to Labs64 netlicensing resources
- Full audit trail of agent actions to support review and compliance

## Use Labs64 netlicensing with any AI Agent Framework

Choose a framework you want to connect Labs64 netlicensing with:

- [Claude Code](https://composio.dev/toolkits/labs64_netlicensing/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/labs64_netlicensing/framework/claude-cowork)
- [OpenAI Agents SDK](https://composio.dev/toolkits/labs64_netlicensing/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/labs64_netlicensing/framework/claude-agents-sdk)
- [Codex](https://composio.dev/toolkits/labs64_netlicensing/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/labs64_netlicensing/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/labs64_netlicensing/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/labs64_netlicensing/framework/atomic-agent)
- [Google ADK](https://composio.dev/toolkits/labs64_netlicensing/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/labs64_netlicensing/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/labs64_netlicensing/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/labs64_netlicensing/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/labs64_netlicensing/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/labs64_netlicensing/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/labs64_netlicensing/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/labs64_netlicensing/framework/autogen)

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## Frequently Asked Questions

### Do I need my own developer credentials to use Labs64 netlicensing with Composio?

Yes, Labs64 netlicensing requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)