What environment variables are required to configure the server?
Three environment variables are required: `EASYSHELL_URL` (the EasyShell API endpoint), `EASYSHELL_USER` (username), and `EASYSHELL_PASS` (password).
@easyshell-ai
基本情報
Lightweight server management & intelligent ops platform with Docker one-click deployment, batch script execution, web terminal, and AI-powered operations.
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": {
"easyshell-mcp": {
"command": "docker",
"args": [
"compose",
"up",
"-d"
]
}
}
}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。
Easyshell is a Model Context Protocol (MCP) server that connects AI assistants to the EasyShell platform for managing hosts, executing scripts, orchestrating multi‑host tasks, scheduling AI inspections, and accessing infrastructure operations. It provides 19 tools across three tiers (Core, Management, Advanced) and is intended for DevOps and infrastructure teams.
Configure the server by setting three environment variables (EASYSHELL_URL, EASYSHELL_USER, EASYSHELL_PASS) in your MCP client’s configuration (Claude Desktop, Cursor, OpenCode). The server runs locally via npx -y @easyshell/mcp-server (stdio transport) or over HTTP/SSE by using the --port flag.
ai_chatThree environment variables are required: `EASYSHELL_URL` (the EasyShell API endpoint), `EASYSHELL_USER` (username), and `EASYSHELL_PASS` (password).
The server supports stdio (default, for local AI clients) and HTTP (SSE + Streamable HTTP) for remote deployments or browser‑based clients.
Install via npm (e.g., `npx -y @easyshell/mcp-server`). For auto‑install, run `npx @easyshell/mcp-server --install`. For HTTP mode, add `--port` (and optionally `--host` for remote access).
It offers 19 tools: Core (6) like `list_hosts`, `execute_script`, `ai_chat`; Management (8) like `create_script`, `trigger_inspection`, `get_inspect_reports`; and Advanced (5) like `manage_tags`, `query_audit_logs`, `approve_task`.
Yes. By running with `--port 3000` (and optionally `--host 0.0.0.0`), the server exposes HTTP endpoints for remote access and is compatible with Smithery.ai and browser‑based clients.
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