What is Chepy?
Chepy is a Python library for data transformation, similar to CyberChef, providing operations like encoding, decoding, hashing, and more.
@nebucaz
Basic information
This project exposes the powerful Chepy data transformation library as an MCP 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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"chepy-mcp": {
"command": "/Users/username/.local/bin/uv",
"args": [
"--directory",
"/Users/username/chepy-mcp",
"run",
"src/server.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Chepy MCP Service is an MCP server that exposes the Chepy data transformation library (a Python library similar to CyberChef) through a single pipeline tool called bake. It is for developers or AI agents who need to chain encoding, decoding, and data manipulation operations via the Model Context Protocol.
Install uv, clone the repository, run uv sync to install dependencies, then start the server with uv run src/server.py. Use the bake tool by sending a recipe in Chepy JSON format containing input and a recipe list of operations with their arguments. Discover all available operations by fetching resource://chepy_operations.
bake) chains multiple Chepy operations in one request"type": "text" or "type": "binary")Chepy is a Python library for data transformation, similar to CyberChef, providing operations like encoding, decoding, hashing, and more.
Fetch the resource URI `resource://chepy_operations` to get a JSON object listing each operation’s name, signature, and description.
Yes, the `bake` response includes a `"type"` field that is either `"text"` or `"binary"`, along with the output data.
You need Python, `uv` (install script provided), and the dependencies installed via `uv sync` after cloning the repository. Chepy is a core dependency.
Run `uv run src/server.py` from the project directory. The server uses standard MCP transport (stdio).

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