labs64/netlicensing-mcp repository overview

⁠NetLicensing MCP Server

The official Labs64 NetLicensing⁠ MCP Server — a natural language interface that lets AI agents manage software licenses, customers, and entitlements through conversational commands.

Works with Claude Desktop, GitHub Copilot (Agent mode), VS Code, JetBrains / IntelliJ IDEA, and any other MCP-compatible client.

⁠Why use this?

• Natural Language Licensing — Ask your AI assistant to create products, issue licenses, validate entitlements, and generate shop URLs without touching the NetLicensing UI or writing API calls.
• Full API coverage — Various tools spanning the entire NetLicensing REST API⁠: products, modules, templates, licensees, licenses, bundles, tokens, transactions, and payment methods.
• Built-in audit prompts — Five ready-to-run prompt templates for account audits, expiry sweeps, anomaly detection, and cleanup workflows.
• Safe by default — All delete operations expose a force_cascade option; nothing is silently cascaded.
• Zero-dependency quick start — Run with uvx or Docker without a local Python install.

⁠What can you ask?

Once connected, you can talk to NetLicensing in plain language:

• "List all products in my NetLicensing account."
• "Create a new licensee for [email protected] under product PTEST."
• "Validate the license for licensee L001 — does it pass?"
• "Generate a shop URL for licensee L001 so they can self-serve their renewal."
• "Which licenses are expiring in the next 30 days?"
• "Find any licensees with no active licenses — flag them for cleanup."
• "Transfer all licenses from licensee L001 to L002."
• "Create an API key token scoped to read-only access."
• "Show me all transactions from the last month."

⁠Features

⁠Quick Start

⁠Option A — uvx (no install required)

NETLICENSING_API_KEY=your_key uvx netlicensing-mcp

⁠Option B — pip

pip install netlicensing-mcp
NETLICENSING_API_KEY=your_key netlicensing-mcp

⁠Option C — Docker

⁠stdio (default) — for Claude Desktop / VS Code

docker run -i --rm \
  -e NETLICENSING_API_KEY=your_key \
  ghcr.io/labs64/netlicensing-mcp:latest

⁠HTTP mode — for remote/shared deployments

docker run -d -p 8000:8000 \
  -e NETLICENSING_API_KEY=your_key \
  ghcr.io/labs64/netlicensing-mcp:latest http

⁠Verbose logging (any mode)

# CLI flag
docker run -i --rm \
  -e NETLICENSING_API_KEY=your_key \
  ghcr.io/labs64/netlicensing-mcp:latest -v

# Or via env var
docker run -i --rm \
  -e NETLICENSING_API_KEY=your_key \
  -e MCP_VERBOSE=true \
  ghcr.io/labs64/netlicensing-mcp:latest

⁠Configuration

⁠Environment Variables

⁠Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "netlicensing": {
      "command": "uvx",
      "args": ["netlicensing-mcp"],
      "env": {
        "NETLICENSING_API_KEY": "your_key_here"
      }
    }
  }
}

Or use the official Docker image:

⁠stdio (default) — for Claude Desktop / VS Code

{
  "mcpServers": {
    "netlicensing": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "NETLICENSING_API_KEY=your_key_here",
        "ghcr.io/labs64/netlicensing-mcp:latest"
      ]
    }
  }
}

⁠HTTP mode — for remote/shared deployments

{
  "mcpServers": {
    "netlicensing": {
      "command": "docker",
      "args": [
        "run", "-d",
        "-p", "8000:8000",
        "-e", "NETLICENSING_API_KEY=your_key_here",
        "ghcr.io/labs64/netlicensing-mcp:latest",
        "http"
      ]
    }
  }
}

⁠VS Code / GitHub Copilot

The repo ships a .vscode/mcp.json that auto-configures Copilot Agent mode. Set NETLICENSING_API_KEY in your shell environment or a .env file, then click Start in the editor banner that appears above mcp.json.

⁠JetBrains / IntelliJ IDEA

In Copilot Chat → Agent mode → Tools icon → Add More Tools… — paste the same JSON block shown in the Claude Desktop section above.

⁠Audit Prompt Templates

Five built-in prompts accessible in Copilot Agent and Claude Desktop:

⁠Troubleshooting

Check MCP server logs

# macOS / Claude Desktop
tail -f ~/Library/Logs/Claude/mcp-server-netlicensing.log
 
# Windows
Get-Content "$env:APPDATA\Claude\Logs\mcp-server-netlicensing.log" -Wait

Run the MCP Inspector (browser UI at http://localhost:5173)

mcp dev src/netlicensing_mcp/server.py

Common issues

⁠Development

git clone https://github.com/Labs64/NetLicensing-MCP
cd NetLicensing-MCP

# Create a virtual environment
python -m venv .venv
source .venv/bin/activate       # Windows: .venv\Scripts\activate

# ... and install dependencies
pip install -e ".[dev]"
pip install hatch hatch-vcs

# Add your API key to a .env file (or export it in your shell)
cp .env.example .env
 
# Run the MCP Inspector
mcp dev src/netlicensing_mcp/server.py
 
# Run tests
pytest tests/ -v

# Clean previous builds
rm -rf dist/

# Build a wheel for local testing
hatch build --target wheel

# Build the Docker image locally
docker build -t ghcr.io/labs64/netlicensing-mcp:latest .

⁠HTTP mode (for remote / shared deployments)

python -m netlicensing_mcp.server http
# Server listens on MCP_HOST:MCP_PORT (default: 127.0.0.1:8000)

Use ngrok or a reverse proxy to expose the HTTP endpoint to remote MCP clients:

ngrok http 8000
# Then point your client at the generated HTTPS URL

⁠Cloud Deployment (AWS)

Deploy the MCP server to AWS for a public HTTPS endpoint that remote AI agents can connect to:

⁠Quick deploy with the helper script

cd deploy/aws

# Option A — ECS Fargate
# Deploy (with optional HTTPS via ACM certificate)
./deploy.sh fargate \
    --certificate-arn arn:aws:acm:us-east-1:123456789:certificate/your-cert-id

# Option B — App Runner (mirror image to ECR first)
./deploy.sh mirror --ecr-repo 123456789.dkr.ecr.us-east-1.amazonaws.com/netlicensing-mcp
./deploy.sh apprunner \
    --ecr-image 123456789.dkr.ecr.us-east-1.amazonaws.com/netlicensing-mcp:latest

⁠Connect MCP clients to the public URL

To use a shared, remote deployment, do not bake the NETLICENSING_API_KEY into the remote server settings. Instead, pass the API key from the client side using query parameters or HTTP headers.

For example, using the URL configuration in your MCP client with a query parameter:

{
  "mcpServers": {
    "netlicensing": {
      "url": "https://your-endpoint.us-east-1.elb.amazonaws.com/mcp?apikey=YOUR_API_KEY"
    }
  }
}

If you use a client or tool that supports passing HTTP headers directly, you can alternatively provide the key via X-NetLicensing-API-Key: YOUR_API_KEY or Authorization: Bearer YOUR_API_KEY.

📖 Full instructions, architecture diagrams, and cost estimates: deploy/aws/README.md⁠

⁠Contributing

Contributions are welcome! Please open an issue or pull request on GitHub⁠.

For significant changes, open an issue first to discuss the approach.

⁠License

Apache 2.0 — see LICENSE⁠