🚀 Installation & Setup
Quick Install
# Clone the repository
git clone https://github.com/gbrigandi/mcp-server-wazuh
cd mcp-server-wazuh
# Install dependencies
npm install
# Build and run
npm run build
npm start
Prerequisites
- Node.js 18+ or Python 3.8+ (depending on implementation)
- MCP-compatible client (Claude Desktop, Continue, etc.)
- Basic understanding of Model Context Protocol
⚙️ Configuration
MCP Settings Configuration
{
"mcpServers": {
"server-wazuh-mcp": {
"command": "node",
"args": ["path/to/server-wazuh-mcp/dist/index.js"],
"env": {
"API_KEY": "your-api-key-here",
"DEBUG": "false"
}
}
}
}
Environment Variables
Set these environment variables based on your needs:
- • API_KEY - Your API key (if required)
- • DEBUG_MODE - Enable debug logging
- • TIMEOUT - Request timeout in seconds
💡 Usage Examples
Basic Usage
// Example: Basic usage of Server Wazuh MCP
const result = await mcpClient.callTool('execute', {
input: 'your-input-here',
options: {
format: 'json',
timeout: 30000
}
});
console.log('Result:', result);
Integration Guide
This MCP server can be integrated into various AI applications and workflows. Check the GitHub repository for detailed integration examples and API documentation.
View Documentation👥 Contributors
❓ FAQ
How do I install this tool?
Is this tool free to use?
How do I get support?
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