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
관련 서버
Mindbody MCP Server
Interact with the Mindbody API for managing fitness and wellness studios.
Freshservice
Interact with Freshservice modules for IT service management operations.
Graphlit
Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable Graphlit project.
Fleet-MCP
Enables AI assistants to interact with Fleet Device Management for device management, security monitoring, and compliance enforcement.
Gemini Image Analysis
Analyzes image and video content from URLs or local files using the Gemini 2.0 Flash model.
OpenAI
A bridge to OpenAI's Chat Completion and Assistants APIs.
Remote MCP Server on Cloudflare
A remote MCP server deployable on Cloudflare Workers with OAuth login support, using Cloudflare KV for data storage.
AWS Application Signals
Interact with AWS Application Signals for application monitoring and troubleshooting. Requires AWS credentials.
Remote MCP Server on Cloudflare
An MCP server deployed on Cloudflare Workers, featuring OAuth login support.
Replicate
Run AI models for tasks like image generation using the Replicate API.