Bunnyshell MCP Server

what is Bunnyshell MCP Server? Bunnyshell MCP Server is a Model Context Protocol (MCP) server implementation that allows AI assistants to interact with the Bunnyshell platform through its CLI. how to use Bunnyshell MCP Server? To use the Bunnyshell MCP Server, set up the server by cloning the repository and running the setup script. Then, connect your AI assistant (like Claude) to the MCP server using your Bunnyshell API token. key features of Bunnyshell MCP Server? Organization Management: List and navigate organizations Project Management: Create, list, and delete projects Environment Management: Manage environments (create, start, stop, delete) Component Operations: Deploy, debug, and SSH into components Variable & Secret Management: Manage environment variables and secrets Remote Development: Start remote development sessions and set up port forwarding use cases of Bunnyshell MCP Server? Managing Bunnyshell resources through natural language commands Automating project and environment management tasks Facilitating remote development workflows FAQ from Bunnyshell MCP Server? What are the prerequisites for using Bunnyshell MCP Server? You need Node.js 18+, npm, Bunnyshell CLI, Claude Desktop, and Docker for setup. How do I connect my AI assistant to the MCP server? Start a conversation with Claude, add an attachment, and select 'Connect to MCP server'. Is my API token secure? Yes, API tokens are not stored in code or configuration files and can be provided via environment variables.

As an MCP (Model Context Protocol) server, Bunnyshell MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Bunnyshell MCP Server, set up the server by cloning the repository and running the setup script. Then, connect your AI assistant (like Claude) to the MCP server using your Bunnyshell API token. key features of Bunnyshell MCP Server? Organization Management: List and navigate organizations Project Management: Create, list, and delete projects Environment Management: Manage environments (create, start, stop, delete) Component Operations: Deploy, debug, and SSH into components Variable & Secret Management: Manage environment variables and secrets Remote Development: Start remote development sessions and set up port forwarding use cases of Bunnyshell MCP Server? Managing Bunnyshell resources through natural language commands Automating project and environment management tasks Facilitating remote development workflows FAQ from Bunnyshell MCP Server? What are the prerequisites for using Bunnyshell MCP Server? You need Node.js 18+, npm, Bunnyshell CLI, Claude Desktop, and Docker for setup. How do I connect my AI assistant to the MCP server? Start a conversation with Claude, add an attachment, and select 'Connect to MCP server'. Is my API token secure? Yes, API tokens are not stored in code or configuration files and can be provided via environment variables.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.