Chepy MCP Service (CyberChef like Python library)

This project exposes the powerful Chepy data transformation library as an MCP (Model Context Protocol) server. It allows you to access Chepy's tools (like encoding, decoding, and data manipulation) via a single flexible API: the bake pipeline tool, inspired by CyberChef.

Features

• Single pipeline tool (bake): Chain one or more Chepy operations, each with parameters, in a single request
• Chepy recipe JSON format: Pipelines are described using Chepy's own recipe serialization, making them compatible with Chepy's import/export and CLI tools
• Resource endpoint: Discover all available Chepy operations and their signatures
• Unittest-based test suite for robust validation

Installation

1. Install uv if it is not installed yet.

   $ curl -LsSf https://astral.sh/uv/install.sh | sh
   

2. Clone the repository:

   git clone https://github.com/nebucaz/chepy-mcp.git
   cd chepy-mcp
   

3. Install dependencies:

   uv sync
   

Run

Run the server with:

$ uv run src/server.py

Usage

The Chepy Recipe JSON Format

The bake tool expects a pipeline in the Chepy recipe JSON format:

{
  "input": "hello world",
  "recipe": [
    {"function": "to_base64", "args": {}},
    {"function": "from_base64", "args": {}}
  ]
}

• Each step in the recipe list is an object with a function (the Chepy operation name) and args (a dictionary of arguments for that function).
• This format is fully compatible with Chepy's own recipe import/export and CLI tools.

The response will indicate if the output is text or binary:

{
  "type": "text",
  "data": "hello world"
}

Discover Available Operations

Fetch the resource endpoint to get all available Chepy operations, their parameter signatures, and descriptions:

• Resource URI: resource://chepy_operations

Example response:

{
  "to_base64": {
    "signature": "(alphabet: str = 'standard')",
    "description": "Encode the input string to base64"
  },
  "from_base64": {
    "signature": "(alphabet: str = 'standard', remove_non_alpha: bool = True)",
    "description": "Decode base64 encoded string"
  }
}