Uptime Kuma MCP Server
@phukit29182
Uptime Kuma MCP Server について
概要はまだありません
基本情報
設定
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": {
"uptime-kuma-mcp-server-phukit29182": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール
ツールは検出されませんでした
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。
概要
What is Uptime Kuma MCP Server?
It is a FastMCP server that acts as an intermediary to interact with an Uptime Kuma instance. It exposes tools to manage monitors, tags, status pages, and retrieve heartbeat data.
How to use Uptime Kuma MCP Server?
Install dependencies, configure environment variables (KUMA_URL, KUMA_USERNAME, KUMA_PASSWORD) in a .env file, and run python main.py in STDIO mode. To use SSE mode, modify the __main__ block to call main_sse() and set MCP_HOST/MCP_PORT.
Key features of Uptime Kuma MCP Server
- Provides tools for full CRUD on monitors.
- Supports adding, editing, pausing, and resuming monitors.
- Retrieves heartbeats and status pages.
- Manages tags on monitors.
- Runs in both STDIO and SSE modes.
Use cases of Uptime Kuma MCP Server
- Automating monitor creation and deletion from external scripts.
- Integrating Uptime Kuma with AI assistants via MCP.
- Programmatically pausing/resuming monitors during maintenance windows.
- Retrieving heartbeat data for analysis or alerting pipelines.
FAQ from Uptime Kuma MCP Server
What Python version is required?
Python 3.7+ is required due to asyncio.get_running_loop().
What environment variables are needed?
KUMA_URL, KUMA_USERNAME, and KUMA_PASSWORD must be set for the server to start.
How does the server handle synchronous API calls?
It wraps the synchronous uptime-kuma-api calls in loop.run_in_executor to avoid blocking the async event loop.
Does the server support authentication or custom transports?
No authentication or custom transports are mentioned. Communication uses STDIO or SSE based on mode.
「その他」の他のコンテンツ
MCP Registry
modelcontextprotocolA community driven registry service for Model Context Protocol (MCP) servers.
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
Inbox Zero AI
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.

Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
コメント