MCP server enabling LLM clients to access CyberChef operations via its API for data decoding and transformation.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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Inspect callable tools, capabilities, and parameters exposed to AI agents by Cyberchef API MCP Server.
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.
get_cyberchef_operations_categories: resource - gets updated Cyber Chef categories for additional context / selection of the correct operationsget_cyberchef_operation_by_category: resource - gets list of Cyber Chef operations for a selected categorybake_recipe: tool - bake (execute) a recipe (a list of operations) in order to derive an outcome from the input databatch_bake_recipe: tool - bake (execute) a recipe (a list of operations) in order to derive an outcome from a batch of input dataperform_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 itStart the server using the default stdio transport and specifying an environment variable pointing to a CyberChef API
Start the server and test it with the MCP inspector
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
Using the MCP server in this example use case, the following prerequisites apply:
Here is a basic prompt being solved using the MCP server tools:
MIT License
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