# Qovery

> Use this tool when you need to deploy and manage applications on Kubernetes across multiple cloud providers and on-premise infrastructure. Qovery solves problems related to cloud resource management, automation, and scaling, providing a unified platform for monitoring, troubleshooting, and configuration updates. It accepts natural language inputs and API tokens, outputting controlled cloud resource actions, making it ideal for organizations seeking streamlined cloud management and automation.

Canonical page: https://skillsregistry.net/skills/qovery  
JSON: https://api.skillsregistry.net/v1/skills/qovery

## Description

Qovery provides a cloud platform for deploying and managing applications on Kubernetes across AWS, GCP, Azure, and on-premise infrastructure. The Qovery MCP server enables natural language control over cloud resources, supporting both read-only exploration (monitoring, troubleshooting, viewing) and read-write automation (deployments, resource creation, configuration updates, service scaling). Access is governed by organization-level permissions and API token roles.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qovery)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "qovery"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qovery` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qovery/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt