Optimizing Security with Wazuh MCP Server: Powerful Integration with SIEM
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.
Server Details
Compatibility
What's Inside
Navigate through comprehensive documentation and guides
Overview
Quick Start
Features
Installation
Configuration
Usage Examples
Tools & Commands
Troubleshooting
FAQ
Community & Support
Get Started in 3 Steps
Get up and running in just 5 minutes
Install Prerequisites
Install Node.js and Ollama on your system
npm install -g ollama
Setup MCP Server
Clone repository and install dependencies
git clone https://github.com/gbrigandi/mcp-server-wazuh && npm install
Connect to Claude
Add server to Claude Desktop configuration
Edit claude_desktop_config.json
Powerful Features
Discover what makes this MCP server exceptional and how it can transform your workflow
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.
Technical Capabilities
get_wazuh_alert_summary: Retrieves a summary of Wazuh security alerts, returning formatted alert information such as ID, timestamp, and description. Accepts an optional 'limit' parameter to control the number of alerts retrieved (default is 100).
About This Server
The Wazuh MCP Server serves as a critical bridge between Wazuh SIEM systems and MCP-enabled tools, empowering security teams by automating alert categorization, enriching security data with threat intelligence, and enabling intuitive natural language querying. Through its Rust-based architecture and support for JSON-RPC 2.0 protocols, the server provides high-performance, flexible deployment options, ensuring easy integration with AI tools and real-time access to Wazuh alert data for enhanced decision-making. Whether deployed as a binary or built from source, the server provides comprehensive features tailored to meet the demands of modern security operations.
Tools & Capabilities
Explore the powerful tools this server provides
Available Tools
get_wazuh_alert_summary
Retrieves a summary of Wazuh security alerts, returning formatted alert information such as ID, timestamp, and description. Accepts an optional 'limit' parameter to control the number of alerts retrieved (default is 100).
visualize_security_reports
Generates dynamic security visualizations from Wazuh alert data for threat review and analysis. Supports report formats like graphs, timelines, and detailed mappings.
categorize_alerts
Automatically classifies and prioritizes security alerts based on severity, category, or threat level using AI-driven logic.
Installation & Setup
Complete guide to get this MCP server running in your environment
Before You Start
There are two ways to add an MCP server to Cursor and Claude Desktop App:
- Globally: Available in all of your projects by adding it to the global MCP settings file.
- Per Project: Available only within a specific project by adding it to the project's MCP settings file.
Cursor IDE
Adding an MCP Server to Cursor Globally
- Go to **Cursor Settings > MCP** and click **Add new global MCP server**.
- This will open the `~/.cursor/mcp.json` file.
- Add your MCP server configuration like the following:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
Claude Desktop
Adding an MCP Server to Claude Desktop App Globally
- Go to **Claude Settings > MCP Servers** and click **Add Global MCP Server**.
- This will open the `~/.claude/mcp.json` file (or you can navigate there manually).
- Add your MCP server configuration like the following:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
Step-by-Step Setup
Detailed instructions to get everything running
Visit the GitHub releases page: https://github.com/gbrigandi/mcp-server-wazuh/releases.
Either download the pre-built binary for your operating system or build the server from source using Rust:
- Install Rust (https://rust-lang.org/tools/install).
- Clone the repo using
git clone https://github.com/gbrigandi/mcp-server-wazuh.git
. - Navigate to the folder:
cd mcp-server-wazuh
and runcargo build --release
.
Configure the .env
file with Wazuh API settings (e.g., WAZUH_HOST
, WAZUH_USER
, WAZUH_PASS
).
Start the server with the binary or via cargo run
. Leverage JSON-RPC tools for integration or optional HTTP endpoints for broader connectivity.
Use Cases
Real-world applications and scenarios where this server excels
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.
Success Stories
See how others have successfully implemented this MCP server
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
Frequently Asked Questions
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Common Questions
Everything you need to know to get started
Related Topics & Technologies
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Technologies
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