This model context protocol (MCP) server interfaces with the CyberChef Server API. Allowing you to use any LLM/MCP client of your choosing to utilise the tools and resources within CyberChef. 🧰 Available Tools and Resources --- - get_cyberchef_operations_categories: __resource__ - gets updated Cyber Chef categories for additional context / selection of the correct operations - get_cyberchef_operation_by_category: __resource__ - gets list of Cyber Chef operations for a selected category - bake_recipe: __tool__ - bake (execute) a recipe (a list of operations) in order to derive an outcome from the input data - batch_bake_recipe: __tool__ - bake (execute) a recipe (a list of operations) in order to derive an outcome from a batch of input data - perform_magic_operation: __tool__ - perform CyberChef's magic operation which is designed to automatically detect how your data is encoded and which operations can be used to decode it 📝 Usage --- Start the server using the default stdio transport and specifying an environment variable pointing to a CyberChef API 🧑💻Usage (Development) --- Start the server and test it with the MCP inspector 📚 Client Configuration --- The following commands will generate a client configuration file, the location will depend on your operating system > [!TIP] > After running the above command you can then tweak the client configuration to include the environment variable for the CyberChef API URL 🔍 Demo --- Using the MCP server in this example use case, the following prerequisites apply: - You must have Claude desktop installed - Have a running CyberChef API instance or one you are able to use Here is a basic prompt being solved using the MCP server tools: 🙇 References --- - CyberChef - CyberChef Server - Model Context Protocol