What is Chepy?
Chepy is a Python library for data transformation, similar to CyberChef, providing operations like encoding, decoding, hashing, and more.
@nebucaz
基本情報
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.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"chepy-mcp": {
"command": "/Users/username/.local/bin/uv",
"args": [
"--directory",
"/Users/username/chepy-mcp",
"run",
"src/server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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