Cyberchef

About

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.

Key Features

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• Execute single- or multi-step CyberChef recipes against text or binary data.
• Programmatically validate and repair CyberChef recipes, suggesting fixes.
• Invoke CyberChef's Magic operation for encoding heuristics and recipe proposals.
• Inspect exact argument schemas for any CyberChef operation.
• Discover CyberChef operations with fuzzy search by name and description.

Use Cases

• Integrating CyberChef's decoding and encoding capabilities into automated security or data processing workflows.
• Enabling AI agents to perform complex data transformations and analysis using CyberChef operations.
• Programmatically validating and debugging CyberChef recipes for reliable application integration.