CyberChef MCP Server

Example Use Cases

• 1

  Programmatically apply CyberChef transformations (recipes) to single inputs and obtain decoded or transformed output.

• 2

  Batch-process many inputs through the same CyberChef recipe to automate bulk decoding or data transformation tasks.

• 3

  Discover available CyberChef operations and categories, or try automated decoding using CyberChef's magic operation to infer encodings.

Description

This project provides a Model Context Protocol (MCP) server that interfaces with a CyberChef Server API, allowing LLM/MCP clients to discover operations, build and execute recipes, batch-process inputs, and run CyberChef's automatic "magic" decoding. It includes tools for fetching operation categories, listing operations by category, baking recipes on single or batched inputs, and performing the magic operation. The server is intended to be run alongside a CyberChef API (self-hosted or accessible) and is distributed under the MIT license with usage and client configuration examples in the README. It simplifies integrating CyberChef capabilities into agent workflows and automated pipelines.