conoha_vps_mcp for AI Coding

Manage ConoHa VPS from an MCP client with natural-language commands

conoha_vps_mcp, developed by GMO Internet Group, Inc., is an open-source MCP server that connects AI assistants to ConoHa VPS. The tool translates natural-language prompts from MCP-compatible clients into ConoHa API calls, enabling instance listing, detail retrieval, and power operations like start, stop, and reboot directly from an assistant. It ships as a TypeScript project with API credential-based authentication, aimed at developers and DevOps engineers who want quicker, in-chat server management.

What tasks can you actually use it for?

The server handles inventory and basic control tasks: it can list all VPS instances, fetch detailed information for a specific server, and perform power management actions such as start, stop, and reboot. The implementation deliberately focuses on status retrieval and non-destructive power operations, so full lifecycle actions like deleting servers are not included in the current scope.

How reliable are the command-to-API actions?

The repository is written in TypeScript, which increases type safety during development and maintenance compared to an untyped script. Authentication uses ConoHa API credentials (API Username, Password, and Tenant ID) for each request, providing an explicit credential boundary between the MCP server and the cloud API. Community feedback notes the project as a practical MCP implementation, which suggests typical reliability for routine requests.

What do you need to run and configure it?

Running the server requires a Node.js environment, a ConoHa VPS account with API access enabled, and an MCP-compatible client such as Claude Desktop. Configuration involves adding the server to the client configuration and supplying ConoHa API credentials as environment variables, per the developer documentation. Those prerequisites make the tool suitable for environments already using MCP clients and Node-based tooling.

How it fits into developer workflows and limits to expect

Hosted under the developer's GitHub organization and implemented in TypeScript, the server integrates into code-centric workflows where infrastructure is managed alongside application code. It serves well for routine maintenance and quick checks from an assistant, but teams that need full resource lifecycle controls must retain traditional control-panel or API scripts for deletion and complex provisioning.

A practical, targeted option for AI-driven routine server management

conoha_vps_mcp is a focused tool for engineers who want to operate ConoHa VPS instances from MCP clients; it suits routine inventory and power tasks but does not replace full lifecycle tooling. Treat AI-initiated operations as auxiliary: require human review for irreversible changes and pair the server with existing automation scripts for provisioning or deletion tasks.