Exposes CyberChef operations as structured tools via an MCP server for AI agents and applications.
Sponsored
This project provides a Model Context Protocol (MCP) server that wraps the CyberChef-server HTTP API, making its powerful data transformation and analysis capabilities accessible to AI agents and other MCP-aware applications. It enables programmatic discovery, inspection, and execution of CyberChef operations, facilitating the integration of complex data manipulation, encoding/decoding, and forensic tasks directly into AI workflows. Users can find operations, inspect their arguments, execute recipes, and even validate or repair them programmatically.
Características Principales
010 GitHub stars
02Execute single- or multi-step CyberChef recipes against text or binary data.
03Programmatically validate and repair CyberChef recipes, suggesting fixes.
04Invoke CyberChef's Magic operation for encoding heuristics and recipe proposals.
05Inspect exact argument schemas for any CyberChef operation.
06Discover CyberChef operations with fuzzy search by name and description.
Casos de Uso
01Integrating CyberChef's decoding and encoding capabilities into automated security or data processing workflows.
02Enabling AI agents to perform complex data transformations and analysis using CyberChef operations.
03Programmatically validating and debugging CyberChef recipes for reliable application integration.
