Retrieves security alerts from Elasticsearch indices containing Wazuh data, transforming them into standardized MCP messages.
Uses Flask to expose an HTTP endpoint for serving transformed security event data to clients.
Wazuh MCP Server
A production-grade, open-source MCP server for integrating Wazuh security data with LLMs (such as the Claude Desktop App). This service authenticates with the Wazuh RESTful API, retrieves alerts from Elasticsearch indices, transforms events into an MCP-compliant JSON format, and exposes an HTTP endpoint for Claude Desktop to fetch real-time security context.
Features
JWT-Based Authentication: Securely authenticate with Wazuh using JWT tokens.
Alert Retrieval: Query Elasticsearch indices for Wazuh alert data.
MCP Message Transformation: Convert security events into standardized MCP messages.
Flask HTTP Server: Exposes an
/mcpendpoint for Claude Desktop integration.Robust Error Handling: Handles token expiration, network timeouts, and malformed data.
Configurable: Easily configure via environment variables and integrate with Claude Desktop via its config file.
Related MCP server: OpenSearch MCP Server
Prerequisites
Python 3.8+
Access to a Wazuh API instance.
(Optional) Claude Desktop configured to call the MCP server.
Installation
Clone the Repository:
git clone https://github.com/unmuktoai/Wazuh-MCP-Server.git cd Wazuh-MCP-Server
Create and Activate a Virtual Environment:
Install Dependencies:
Configuration Set the following environment variables to configure the MCP server:
Example (MacOS):
Running the Server Start the MCP server with:
The server will listen on all interfaces at the port specified by
Integration with Claude Desktop To integrate with Claude Desktop, update its configuration file:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json Add the following entry under mcpServers:
License This project is licensed under the MIT License.
Contributing Contributions are welcome! Please open issues or submit pull requests for improvements or bug fixes.