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How to Integrate Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM MCP Server: Complete Guide

Learn how to integrate Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM MCP server in your AI application. 5-10 minutes setup time. Step-by-step tutorial with code examples and best practices.

BYOMCPS Team
June 17, 2025

How to Integrate Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM MCP Server

The Wazuh MCP Server is a specialized solution designed to integrate Wazuh SIEM systems with applications relying on the Model Context Protocol (MCP). This innovative server enables seamless interaction with Wazuh security alerts by transforming API data into MCP-compatible formats, unlocking advanced capabilities like AI-driven alert analysis and natural language interaction with security data.

Difficulty Level: Beginner Estimated Setup Time: 5-10 minutes Maintenance Status: Maintained

Prerequisites

Before integrating Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM, ensure you have:

  • Rust development environment
  • Claude Desktop or compatible MCP client
  • Basic understanding of 🛠️ Tools

Quick Start (5 minutes)

Get Started in 3 Steps:

Step 1: Install Prerequisites

Install Node.js and Ollama on your system

npm install -g ollama

Estimated time: 2 minutes

Step 2: Setup MCP Server

Clone repository and install dependencies

git clone https://github.com/gbrigandi/mcp-server-wazuh && npm install

Estimated time: 2 minutes

Step 3: Connect to Claude

Add server to Claude Desktop configuration

Edit claude_desktop_config.json

Estimated time: 1 minute

Detailed Installation Instructions

There are two ways to add an MCP server to Cursor and Claude Desktop App:

  1. Globally: Available in all of your projects by adding it to the global MCP settings file.
  2. Per Project: Available only within a specific project by adding it to the project's MCP settings file.

For Claude Desktop

Global Installation

  1. Go to Claude Settings > MCP Servers and click Add Global MCP Server.
  2. This will open the ~/.claude/mcp.json file (or you can navigate there manually).
  3. Add your MCP server configuration like the following:
{
  "mcpServers": {
    "cursor-rules-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "cursor-rules-mcp"
      ]
    }
  }
}

For Cursor

Global Installation

  1. Go to Cursor Settings > MCP and click Add new global MCP server.
  2. This will open the ~/.cursor/mcp.json file.
  3. Add your MCP server configuration like the following:
{
  "mcpServers": {
    "cursor-rules-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "cursor-rules-mcp"
      ]
    }
  }
}

Key Features

  • Transforms Wazuh security alerts into MCP-compatible JSON.
  • Supports AI-driven categorization and enrichment of security alerts.
  • Provides dynamic visualization tools for security reporting.
  • Enables natural language queries of Wazuh security data.
  • Supports optional HTTP endpoints for broader network integrations.
  • Utilizes JSON-RPC 2.0 for high-efficiency communication between systems.
  • Offers configurable SSL handling and authentication settings.

Use Cases

  • Streamlining security alert triaging with AI-driven prioritization to reduce manual workload.
  • Generating multilingual, context-driven reports for global security teams.
  • Enriching alert data with correlated intelligence from OSINT and CVE databases for deeper threat understanding.
  • Customizing AI assistants like Claude Desktop to query, process, and present Wazuh security data in natural language.
  • Providing real-time threat visualizations for management and auditing use.

Real-World Examples

Real-world Application: Streamlining Security Alert Triaging With Ai Driven Prioritization To Reduce Manual Workload.

Scenario: An organization implemented Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM to address their specific need for streamlining security alert triaging with ai-driven prioritization to reduce manual workload.

Implementation: They configured the MCP server with specialized AI models tailored to their streamlining security alert triaging with ai-driven prioritization to reduce manual workload. requirements, enabling comprehensive analysis and decision support

Outcome: Achieved significant improvements in streamlining security alert triaging with ai-driven prioritization to reduce manual workload. efficiency and quality through multi-perspective AI analysis

Real-world Application: Generating Multilingual, Context Driven Reports For Global Security Teams.

Scenario: An organization implemented Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM to address their specific need for generating multilingual, context-driven reports for global security teams.

Implementation: They configured the MCP server with specialized AI models tailored to their generating multilingual, context-driven reports for global security teams. requirements, enabling comprehensive analysis and decision support

Outcome: Achieved significant improvements in generating multilingual, context-driven reports for global security teams. efficiency and quality through multi-perspective AI analysis

Real-world Application: Enriching Alert Data With Correlated Intelligence From Osint And Cve Databases For Deeper Threat Understanding.

Scenario: An organization implemented Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM to address their specific need for enriching alert data with correlated intelligence from osint and cve databases for deeper threat understanding.

Implementation: They configured the MCP server with specialized AI models tailored to their enriching alert data with correlated intelligence from osint and cve databases for deeper threat understanding. requirements, enabling comprehensive analysis and decision support

Outcome: Achieved significant improvements in enriching alert data with correlated intelligence from osint and cve databases for deeper threat understanding. efficiency and quality through multi-perspective AI analysis

Compatibility

This server is compatible with:

  • Claude desktop: ✅ Supported
  • Cursor: ✅ Supported
  • Vscode: ✅ Supported
  • Windsurf: ✅ Supported

Best Practices

  1. Performance: Optimize your Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM configuration
  2. Security: Follow security guidelines
  3. Monitoring: Set up proper logging and monitoring

Troubleshooting

Common issues and solutions when working with Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM.

Conclusion

Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM provides powerful 🛠️ Tools capabilities for your applications.

Get Started

Topics covered:

Rust
🛠️ Tools
Tutorial
Integration
beginner