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YaraFlux MCP Server

A yara based MCP Server

Created by ThreatFlux2025/03/28
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What is YaraFlux MCP Server?

What is YaraFlux? YaraFlux is a Model Context Protocol (MCP) server designed for YARA scanning, enabling AI assistants to perform YARA rule-based threat analysis through a standardized interface. How to use YaraFlux? To use YaraFlux, install it via pip or from source, run the server, and utilize the command-line interface to create YARA rules and scan files. Key features of YaraFlux? Integration with YARA scanning and Model Context Protocol Comprehensive YARA rule management (create, edit, delete, import) JWT authentication for secure API access Docker deployment support RESTful API with Swagger documentation Direct AI assistant integration URL and data scanning capabilities Use cases of YaraFlux? Performing YARA rule-based threat analysis for cybersecurity. Automating the scanning of files and URLs for potential threats. Managing and integrating YARA rules within AI systems for enhanced security. FAQ from YaraFlux? Can YaraFlux be deployed in a Docker container? Yes! YaraFlux supports Docker deployment for easy configuration. Is there documentation available for YaraFlux? Yes! Comprehensive documentation is available in the docs directory, including installation and API reference guides. How can I contribute to YaraFlux? Contributions are welcome! You can fork the repository and submit a Pull Request.

As an MCP (Model Context Protocol) server, YaraFlux 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 YaraFlux MCP Server

To use YaraFlux, install it via pip or from source, run the server, and utilize the command-line interface to create YARA rules and scan files. Key features of YaraFlux? Integration with YARA scanning and Model Context Protocol Comprehensive YARA rule management (create, edit, delete, import) JWT authentication for secure API access Docker deployment support RESTful API with Swagger documentation Direct AI assistant integration URL and data scanning capabilities Use cases of YaraFlux? Performing YARA rule-based threat analysis for cybersecurity. Automating the scanning of files and URLs for potential threats. Managing and integrating YARA rules within AI systems for enhanced security. FAQ from YaraFlux? Can YaraFlux be deployed in a Docker container? Yes! YaraFlux supports Docker deployment for easy configuration. Is there documentation available for YaraFlux? Yes! Comprehensive documentation is available in the docs directory, including installation and API reference guides. How can I contribute to YaraFlux? Contributions are welcome! You can fork the repository and submit a Pull Request.

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 YaraFlux 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 YaraFlux 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.