What is Qovery?
Qovery is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to deploy apps and manage kubernetes on aws, gcp, azure, and on-premise with natural language.
Deploy apps and manage Kubernetes on AWS, GCP, Azure, and On-Premise with natural language.
This server falls under the Cloud Services and Coding Agents categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Deploy apps and manage Kubernetes on AWS, GCP, Azure, and On
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx com-qovery-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Qovery
What is Qovery?
Qovery is a Model Context Protocol (MCP) server that deploy apps and manage kubernetes on aws, gcp, azure, and on-premise with natural language. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Qovery?
Follow the installation instructions on the Qovery GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Qovery?
Qovery works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Qovery free to use?
Yes, Qovery is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Qovery in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.