Uptime Kuma MCP Open
Uptime Kuma MPC developed by GryfAi. Supports most of the read-only operations.
mcp-uptime-kuma-open
This is the open version of our Uptime Kuma MCP server. It is open to for personal use and small companies can freely use this internally for their operations. See our license for more information. This version is released under the BSL license. We do provide a hosted solution with more functionality baked in to the closed source version. If you want the more advanced version, please contact us on hello (at) gryfai.com
The repository is still active and we will add to it continously. We are painfully aware that we lack testing, but we have tested it with a couple of clients. It is all good to go! Writing tests is the next thing on our agenda.
The open version
This version is exposing a limited but useful set of tools to interact with Uptime Kuma via your favorite LLM tool.
This server provide these functions:
- Retrieval of monitor status, both all and individual
- Get monitor beats
- Retrieval of notifications, both all and individual
- Retrieval of status pages, both all and individual
- Retrieval of heartbeats
- Retrieval of tags, both all and individual
- Retrieval of database size
- Retrieval of status page maintenance.
All of these are read-only in the open version.
We are releasing this open version under BSL with change license to Apache 2.0 in the future. Both to provide you with excellent tools but also make sure that the time and effort we invest in maintaining this repository is not being abused. You may of course develop a competing open source service by yourself. We encourage competition and open source. We are only regulating the code base so that our codebase is not used in a competing SaaS or other projects for monetary gain.
Want more?
GryfAi has a more powerful version of this that can be hosted via our solution. It includes capabilities such as
- Adding, editing and deleting monitors
- Adding, editing and deleting notifications
- Adding, editing and deletion of tags
- Maintenance functionality
- Docker functionality
- API-key management
- Proxy management
Just contact us at: hello (at) gryfai.com
Prerequisites
This project uses uv as its build system. Please ensure you have either uv or pip installed. You can install uv with:
pip install uv
Installation and usage (end users).
Install locally, set env vars, then let your MCP client launch the STDIO server. You usually don’t need to run it manually unless debugging.
-
Create and activate a virtual environment (Python 3.10+).
- Check your Python version by running
python3 --version. If you don't have Python 3.10 or newer, you can download it from the official Python website. - To create a virtual environment, run the following command from the root of the project directory:
python3 -m venv .venv - To activate the virtual environment, run one of the following commands, depending on your operating system:
- Linux/macOS:
source .venv/bin/activate - Windows:
.venv\Scripts\activate
- Linux/macOS:
- When the virtual environment is activated, your shell prompt will usually change to show the name of the virtual environment (e.g.,
(.venv) user@host:...$).
- Check your Python version by running
-
Install the package inside that venv:
pip install .(oruv pip install .).- This command needs to be run from the root of the project directory.
-
Configure environment variables for your Uptime Kuma instance:
UPTIME_KUMA_URL(default:http://localhost:3001)UPTIME_KUMA_USERNAMEUPTIME_KUMA_PASSWORD- You can set these environment variables in your shell, or you can create a
.envfile in the root of the project directory and add them there. For example:UPTIME_KUMA_URL=http://localhost:3001 UPTIME_KUMA_USERNAME=my-username UPTIME_KUMA_PASSWORD=my-password - Note: If you are using a
.envfile, the server will automatically load the environment variables from it.
-
Point your MCP client to the command
python -m mcp_uptime_kuma_open.server(examples below).- If your MCP client is running in the same virtual environment, you can use the command
python -m mcp_uptime_kuma_open.server. - If your MCP client is running outside the virtual environment, you need to provide the full path to the Python executable in the virtual environment. You can find the full path by running the command
which python(on Linux/macOS) orwhere python(on Windows) when the virtual environment is activated. For example:.venv/bin/python -m mcp_uptime_kuma_open.server. - When using the
mcp addcommand, make sure that the virtual environment is activated, or provide the full path to the Python executable.
- If your MCP client is running in the same virtual environment, you can use the command
Client notes (all use STDIO; keys match current client docs):
Gemini CLI
- The recommended way to add the server is to run the following command:
gemini mcp add uptime-kuma python -m mcp_uptime_kuma_open.server - Restart or reload the CLI so it picks up the new server.
- Alternatively, you can add a server entry in your Gemini CLI MCP config (
mcpServersin~/.gemini/settings.json):
{
"mcpServers": {
"uptime-kuma": {
"command": "python",
"args": ["-m", "mcp_uptime_kuma_open.server"]
}
}
}
Codex CLI
- The recommended way to add the server is to run the following command:
codex mcp add uptime-kuma python -m mcp_uptime_kuma_open.server - Restart or reload the CLI so it picks up the new server.
- Alternatively, you can add a STDIO server entry in your Codex config (
~/.codex/config.toml):
[mcp_servers.uptime-kuma]
command = "python"
args = ["-m", "mcp_uptime_kuma_open.server"]
- Save and restart the Codex CLI to load the server.
Claude CLI
- Add the MCP server to your Claude CLI config (
~/.claude.json). It is recommended to use theclaude mcp addcommand. - If editing the file manually, add the following to the
mcpServersobject:
{
"mcpServers": {
"uptime-kuma": {
"command": "python -m mcp_uptime_kuma_open.server"
}
}
}
- Run
claudeas normal; it will launch the STDIO server automatically.
Claude Desktop
- The recommended way to add an MCP server is to install it as an extension (
.mcpbfile) or to edit the configuration file directly. - The configuration file is located at:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
- If editing the file manually, add the following to the
mcpServersobject:
{
"mcpServers": {
"uptime-kuma": {
"command": "<path-to-root-folder-of-project>/mcp-uptime-kuma-open/.venv/bin/python",
"args": ["-m", "mcp_uptime_kuma_open.server"]
}
}
}
- After adding the server, you must restart the Claude Desktop application.
We also offer a commercial HTTP/SSE version that can provide better performance. Feel free to use the open STDIO version under the provided license, or contact us if you prefer the hosted HTTP/SSE option.
We know that some clients sometimes behaves better if you run it straight in the venv.
관련 서버
Kone.vc
스폰서Monetize your AI agent with contextual product recommendations
HttpStatus MCP Server
24 AI-callable tools for API mocking, chaos engineering, security scanning, SSL checks, CORS debugging, OpenAPI validation, JWT decoding, HAR analysis, distributed tracing, webhook capture, automation workflows, and uptime monitoring. Supports OAuth2 and Bearer token auth.
Eloa - AI Content Curator
All your RSS feeds aggregated in one place. Eloa highlights what's new, shows the source, and how long ago it was published. Filter by read and unread.
MCP Google Calendar Integration
Integrates with the Google Calendar API to fetch calendar events for a given date.
AutoWP
Connects Claude to WordPress sites to create posts and manage sites using the WordPress REST API.
WooCommerce MCP Server
An MCP server for integrating with the WooCommerce e-commerce platform.
Amazing Marvin AI Assistant
Connect your Amazing Marvin productivity system with AI assistants for smarter task management.
Things 3 Extended
A desktop extension for the Things 3 task manager, providing advanced features like task movement, editing, and backups.
LinkedIn Ads MCP
Analyze your LinkedIn Ads data
Microsoft 365
MCP server that connects to the whole Microsoft 365 suite (Microsoft Office, Outlook, Excel) using Graph API (including mail, files, calendar)
floor plan generator
BuildFloorPlan is an AI floor plan generator for homeowners, interior designers, builders, and small planning teams who need to move from rough input to a reviewable layout faster. It turns short briefs, sketches, images, and PDFs into clearer floor plan outputs in seconds, supports technical 2D layouts, colored presentation-ready plans, and quick 3D previews, and helps users compare layout directions before renovation, client presentation, or internal review. It is designed for fast first drafts, supports editing and refinement workflows, and does not require CAD experience. You can start free with starter credits, and paid plans add more credits, longer history, and commercial usage options.