Plesk
Manage your Plesk hosting server using AI assistants.
Plesk MCP Server
This MCP server for Plesk allows administrators to manage their Plesk servers using various AI agents and apps. It builds on top of Plesk REST API and WP Toolkit REST API, and provides core administration capabilities, as well as ability to manage the server through shell commands and upload files to the server.
The MCP server runs locally on your machine, so important information doesn't leave your environment.
Plesk Requirements
The MCP server is expected to support any sufficiently recent Plesk version (there are no strict limitations) and any OS (Linux or Windows) that Plesk supports. However, it was tested only on Plesk Obsidian 18.0.76, so prefer using a supported Plesk version.
Obviously, API access must not be disabled on the server.
MCP Server Requirements
You will need uv Python package manager to run the server. Refer to the official documentation for installation instructions.
Usage
Configure the server in your VS Code mcp.json or equivalent (in other agents or apps) using a configuration like:
{
"servers": {
"plesk": {
"command": "uvx",
"args": [
"plesk-mcp@latest"
],
"env": {
// Base URL of your Plesk server. May include port.
// If you don't have a valid TLS certificate or want to use HTTP,
// add the --insecure flag to the args above.
// However, this is not recommended as you credentials may be leaked as a result.
"PLESK_HOST": "https://plesk.example.net:8443",
// API key (recommended).
// Create via `plesk bin secret_key --create -description 'Plesk MCP'` on the server.
"PLESK_API_KEY": "00000000-0000-0000-0000-000000000000",
// Alternatively, you can use username and password.
"PLESK_USERNAME": "admin",
"PLESK_PASSWORD": "passwd"
}
}
}
}
You may want to use env file (e.g. via "envFile" parameter) if your agent or app supports it. This will avoid putting credentials directly in the config file.
See uvx plesk-mcp@latest --help for details on available options and environment variables.
Recommended Usage
For better behavior, it's recommended to use this MCP server in combination with a documentation MCP server. Select either plesk-local-docs-mcp or plesk-remote-docs-mcp. This will allow the agent to get more accurate information about Plesk usage when needed.
You may also attach several Plesk servers at once if needed (e.g. for managing multiple servers).
Here's an example configuration:
{
"servers": {
"plesk-docs": {
"command": "uvx",
"args": [
"plesk-local-docs-mcp@latest"
],
"env": {
"OPENAI_API_KEY": "sk-..."
}
},
"plesk1": {
"command": "uvx",
"args": [
"plesk-mcp@latest"
],
"env": {
"PLESK_HOST": "https://plesk1.example.net:8443",
"PLESK_API_KEY": "00000000-0000-0000-0000-000000000000"
}
},
"plesk2": {
"command": "uvx",
"args": [
"plesk-mcp@latest"
],
"env": {
"PLESK_HOST": "https://plesk2.example.net",
"PLESK_USERNAME": "admin",
"PLESK_PASSWORD": "passwd"
}
}
}
}
Development
MCP server run command:
uv run plesk-mcp --log-level debug --insecure
Before commit:
uv run ruff format
uv run ruff check --fix
uv run mypy .
Publish:
uv build --clear
uv publish
İlgili Sunucular
Google Ad Manager MCP Server
A read-only MCP server for querying live Google Ad Manager data, powered by CData.
Speckle
Interact with Speckle, the collaborative data hub that connects with your AEC tools.
Vidu MCP
Access Vidu's latest video generation models via the Model Context Protocol (MCP).
Unstoppable Domains MCP
AI-powered domain name management — search availability, check pricing, manage your portfolio, configure DNS, list domains for sale, and complete purchases via natural language across 400+ ICANN TLDs.
Second Opinion MCP
Consult multiple AI models, including local, cloud, and enterprise services, to get diverse perspectives on a topic.
Dazzle
Cloud stages for AI agents — isolated browser environments that render and broadcast your content to Twitch, Kick, Restream, and custom RTMP.
Remote MCP Server on Cloudflare
A remote MCP server deployable on Cloudflare Workers with OAuth login support, using Cloudflare KV for data storage.
QuickBooks MCP Server
Query QuickBooks data using natural language.
FFmpeg Micro
FFmpeg Micro MCP - Transcode videos in the cloud via n8n or Make, no server setup. Code: https://github.com/javidjamae/ffmpeg-micro-mcp/
kubeview-mcp
Read-only MCP server for AI-powered Kubernetes debugging with support of code execution