Coolify MCP
C

Coolify MCP

The Coolify MCP Server is a Model Context Protocol server designed for the Coolify platform, which allows interaction with Coolify instances through natural language to manage servers, projects, applications, and services.
2.5 points
10.6K

What is the Coolify MCP Server?

The Coolify MCP Server is an AI assistant integration platform based on the Model Context Protocol (MCP), which allows you to manage and monitor your Coolify instances through simple natural language commands. Whether you need to manage servers, projects, databases, or deployment processes, Coolify MCP can easily handle it.

How to use the Coolify MCP Server?

Using the Coolify MCP Server is very simple. Just enter natural language instructions, such as listing all servers or creating a new project, and the system will automatically parse and execute the corresponding operations. You can complete tasks efficiently without complex command - line knowledge.

Applicable scenarios

The Coolify MCP Server is suitable for developers and technical teams who want to simplify the DevOps process. Whether it's daily operation and maintenance, rapid deployment, or resource monitoring, it can provide you with powerful support.

Main features

Server management
Supports viewing, verifying, and managing the status and resource usage of Coolify servers.
Project management
Easily create, update, and delete Coolify projects, and view their detailed information.
Application and service management
Add, delete, and manage applications and their associated services.
Database management
Supports the creation, configuration, and deletion of multiple database types.
Deployment management
Track deployment progress and force the rebuilding and redeployment of applications.
Advantages
High usability, no complex command - line operations required
Supports multi - language natural language interaction
Improves work efficiency and reduces human errors
Limitations
Requires a valid Coolify API access token
May affect response speed in low - bandwidth environments

How to use

Install the Coolify MCP Server
Ensure that Node.js v18 or higher is installed, and prepare the Coolify API access token and base URL.
Configure environment variables
Set the necessary environment variables such as COOLIFY_ACCESS_TOKEN and COOLIFY_BASE_URL.
Start the MCP Server
Run the npx command to start the MCP service.

Usage cases

List all Coolify servers
Get detailed information about all servers through a natural language query.
Create a new project
Use Coolify MCP to create a new web application project.

Frequently Asked Questions

What dependencies does the Coolify MCP Server require?
How to verify if my Coolify instance connection is normal?

Related resources

Coolify official documentation
Comprehensively understand the features and best practices of Coolify.
GitHub repository
View the source code and submit issues.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.3K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.9K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
5.2K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.5K
4 points
P
Paperbanana
Python
7.8K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.6K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.6K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.8K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.0K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.6K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.3K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
49.7K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase