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.
rating : 2.5 points
downloads : 22
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 managementSupports viewing, verifying, and managing the status and resource usage of Coolify servers.
Project managementEasily create, update, and delete Coolify projects, and view their detailed information.
Application and service managementAdd, delete, and manage applications and their associated services.
Database managementSupports the creation, configuration, and deletion of multiple database types.
Deployment managementTrack deployment progress and force the rebuilding and redeployment of applications.
Advantages and limitations
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 serversGet detailed information about all servers through a natural language query.
Create a new projectUse 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.
Featured MCP Services

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
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

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
79
4.3 points

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
130
4.5 points

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#
554
5 points

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
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

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
745
4.8 points