slouchd/cyberchef-api-mcp-server

Overview

An MCP server that wraps the CyberChef API, exposing its data transformation operations to AI agents via the Model Context Protocol. It allows LLMs and other MCP-compatible tools to encode, decode, encrypt, decrypt, or convert data programmatically.

Best for

Best for
Developers building AI agents that need on-demand data transformation and encoding without leaving the chat interface.

Use cases

• Run base64 encoding or URL decoding through natural language prompts
• Perform AES encryption or hash computation via an AI assistant
• Convert between data formats like hex, binary, or JSON within an agent workflow

Notes

An MCP server that wraps the CyberChef API, exposing its data transformation operations to AI agents via the Model Context Protocol. It allows LLMs and other MCP-compatible tools to encode, decode, encrypt, decrypt, or convert data programmatically.

39 stars on GitHub. Last updated 2026-04-03. Licensed MIT.

Use cases

• Run base64 encoding or URL decoding through natural language prompts
• Perform AES encryption or hash computation via an AI assistant
• Convert between data formats like hex, binary, or JSON within an agent workflow

Pros

• Enables large language models to access CyberChef’s broad recipe library without manual copy-paste
• Works with any MCP-compatible client for easy integration into agentic pipelines
• Written in Python, lowering the barrier for contributions or custom extensions

Cons

• Requires a running CyberChef API instance, adding deployment and latency overhead
• Small community with only 39 stars, meaning limited support and documentation
• Feature set depends entirely on the upstream CyberChef API version and its availability

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.