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Model Context Protocol (MCP)

MCP (Model Context Protocol) enables seamless integration between AI tools and Unizo's unified APIs. With MCP, you can access all Unizo services directly from your favorite AI development environments.

What is MCP?

Model Context Protocol is an open standard that allows AI applications to securely connect to external data sources and services. Unizo's MCP implementation provides direct access to our unified APIs through standardized tools.

Supported AI Environments

  • Claude Desktop - Anthropic's desktop application
  • Cursor - AI-powered code editor
  • Windsurf - AI development environment
  • Custom MCP Clients - Any MCP-compatible application

Available MCP Tools by Category

Security APIs

Development APIs

Operations APIs

Infrastructure APIs

Quick Start Guide

1. Choose Your Environment

Select your preferred AI development environment:

Best for general AI assistance and document processing.

Setup Claude Desktop →

2. Install MCP Tools

Each service provides specific MCP tools. Start with the services most relevant to your use case:

# Install specific service MCP tools
npm install @unizo/mcp-edr
npm install @unizo/mcp-ticketing
npm install @unizo/mcp-scm

3. Configure Authentication

Set up your Unizo API credentials:

{
"mcpServers": {
"unizo-edr": {
"command": "npx",
"args": ["@unizo/mcp-edr"],
"env": {
"UNIZO_API_KEY": "your_api_key_here",
"UNIZO_BASE_URL": "https://api.unizo.ai"
}
}
}
}

Common Use Cases

Security Operations

  • Threat Hunting: Query EDR data and correlate with vulnerability scans
  • Incident Response: Create tickets, send alerts, and coordinate response
  • Compliance Monitoring: Track security posture across environments

Development Workflow

  • Code Analysis: Scan repositories for vulnerabilities and compliance issues
  • CI/CD Integration: Manage packages, deployments, and monitoring
  • Documentation: Generate API documentation and integration guides

Operations Management

  • Infrastructure Monitoring: Track cloud resources and performance metrics
  • Ticket Management: Automate issue creation and resolution tracking
  • Communication: Send notifications and status updates

Next Steps

  1. Choose a service to start with
  2. Set up your environment
  3. Explore available tools for your chosen service
  4. Review examples and best practices

Need Help?


Ready to get started? Choose a service category above or jump directly to setting up your preferred AI environment.