Wazuh MCP Server
An 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.
What is Wazuh MCP Server?
What is Wazuh MCP Server? Wazuh MCP Server is an open-source server designed to integrate Wazuh security data with large language models (LLMs) like the Claude Desktop App. It authenticates with the Wazuh RESTful API, retrieves alerts from Elasticsearch, transforms events into an MCP-compliant JSON format, and provides an HTTP endpoint for real-time security context. How to use Wazuh MCP Server? To use the Wazuh MCP Server, clone the repository, set up a virtual environment, install dependencies, configure environment variables for Wazuh API access, and run the server. Integration with Claude Desktop requires updating its configuration file to include the MCP server details. Key features of Wazuh MCP Server? JWT-Based Authentication for secure access to Wazuh. Alert Retrieval from Elasticsearch indices. Transformation of security events into standardized MCP messages. Flask HTTP Server exposing an /mcp endpoint for integration. Robust error handling for various issues like token expiration and network timeouts. Configurable via environment variables for easy setup. Use cases of Wazuh MCP Server? Integrating Wazuh security alerts with AI applications. Providing real-time security context to LLMs for enhanced decision-making. Automating security monitoring and alerting processes. FAQ from Wazuh MCP Server? What is required to run Wazuh MCP Server? You need Python 3.8+, access to a Wazuh API instance, and optionally, Claude Desktop configured to call the MCP server. Is Wazuh MCP Server free to use? Yes! It is an open-source project and free to use. How can I contribute to Wazuh MCP Server? Contributions are welcome! You can open issues or submit pull requests for improvements or bug fixes.
As an MCP (Model Context Protocol) server, Wazuh MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Wazuh MCP Server
To use the Wazuh MCP Server, clone the repository, set up a virtual environment, install dependencies, configure environment variables for Wazuh API access, and run the server. Integration with Claude Desktop requires updating its configuration file to include the MCP server details. Key features of Wazuh MCP Server? JWT-Based Authentication for secure access to Wazuh. Alert Retrieval from Elasticsearch indices. Transformation of security events into standardized MCP messages. Flask HTTP Server exposing an /mcp endpoint for integration. Robust error handling for various issues like token expiration and network timeouts. Configurable via environment variables for easy setup. Use cases of Wazuh MCP Server? Integrating Wazuh security alerts with AI applications. Providing real-time security context to LLMs for enhanced decision-making. Automating security monitoring and alerting processes. FAQ from Wazuh MCP Server? What is required to run Wazuh MCP Server? You need Python 3.8+, access to a Wazuh API instance, and optionally, Claude Desktop configured to call the MCP server. Is Wazuh MCP Server free to use? Yes! It is an open-source project and free to use. How can I contribute to Wazuh MCP Server? Contributions are welcome! You can open issues or submit pull requests for improvements or bug fixes.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Wazuh MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Wazuh MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.