What are the prerequisites?
Node.js 18+ and npm, the Bunnyshell CLI (`bns`) installed and configured, Claude Desktop, and optionally Docker and Docker Compose for Docker setup.
@aminalali8
基本情報
概要はまだありません
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。
A Model Context Protocol (MCP) server that enables AI assistants (like Claude) to interact with the Bunnyshell platform using its CLI (bns). It provides tools for managing Bunnyshell resources through natural language commands.
Clone the repository and run the setup script (./setup.sh or ./docker-setup.sh). Then start or restart Claude Desktop, connect to the MCP server by selecting 'bunnyshell-mcp' from the list, and provide your Bunnyshell API token. Alternatively, set the BNS_API_KEY environment variable in the Cursor configuration file.
DATABASE_URL) in an environmentNode.js 18+ and npm, the Bunnyshell CLI (`bns`) installed and configured, Claude Desktop, and optionally Docker and Docker Compose for Docker setup.
The token can be provided via command line, the `BNS_API_KEY` environment variable, or session storage (temporary, in-memory only). In Cursor, you can add it to the `env` section of `mcp.json`.
Yes. Use the `docker-setup.sh` script and configure the MCP server with Docker‑specific arguments in the Cursor configuration.
API tokens are never stored in code or configuration files. Commands are logged without sensitive information.
Yes. The `.cursor/mcp.json` file contains configuration for both local (`node dist/index.js`) and Docker setups, with the `BNS_API_KEY` environment variable for automatic authentication.

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