Qovery Connector for AI agents.
10 live capabilities
Manage Kubernetes deployments and cloud environments from your editor.
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Why people use Qovery
Qovery for Kubernetes Deployment Management
This Connector puts your entire Qovery infrastructure right where you already work. You can ask your agent to check the health of your microservices, list your active environments, or trigger a rolling restart of a pod. Instead of hunting for buttons in a dashboard, you get the answers you need in a single chat, letting you stay in the zone.
What Vinkius changes
You get to manage your entire cloud deployment lifecycle through a simple chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Rapid Hotfix Deployment
A developer finds a bug, grabs the commit SHA, and tells their agent to deploy it to the dev sandbox using `deploy_application`.
- Real-world use case 02
Instant Health Audit
An engineer asks the agent to check the CPU and RAM limits for the web-frontend in staging using `get_application`.
- Real-world use case 03
Production Rollout Verification
A lead wants to see every app running in production and uses `list_applications` to verify the rollout succeeded.
Complete set · 10capabilities
The complete Qovery capability set.
These are the exact actions your AI can choose when you ask it to work with Qovery.
01—04
4 capabilities in this set.
Part of 10 available through Qovery.
- 01 Capability
List applications
See all apps running in a specific environment. Use this to quickly audit which services are currently live.
- 02 Capability
List environments
List all environments like production or staging in a project. This helps you navigate through different deployment tiers.
- 03 Capability
Restart application
Perform a zero-downtime rolling restart for a Qovery app. This is perfect for refreshing environment variables or clearing cache.
- 04 Capability
Get environment
Get the specific details for a Qovery environment. This helps you see the configuration of a specific staging or production area.
05—07
3 capabilities in this set.
Part of 10 available through Qovery.
- 05 Capability
Get organization
Pull the details for your Qovery organization. Use this to see high-level account information.
- 06 Capability
List organizations
See all organizations linked to your API token. This is useful for managing multiple company accounts.
- 07 Capability
List projects
Show all projects within a specific organization. You can use this to find the right workspace for your deployment.
08—10
3 capabilities in this set.
Part of 10 available through Qovery.
- 08 Capability
Deploy application
Trigger an immediate deployment for a specific Git commit SHA. Use this to push hotfixes or test specific code versions.
- 09 Capability
Get application
Get the details for a specific Qovery application. This provides deep insights into a single microservice's status.
- 10 Capability
Get project
Pull the details for a specific Qovery project. Use this to understand the scope of a project's resources.
Set up in minutes
One URL. Then ask Qovery to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Qovery from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_TO2qfcTL6CfQKOXfGLBnMgWFpOD49hykqaFBjirY/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Qovery, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Qovery for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_TO2qfcTL6CfQKOXfGLBnMgWFpOD49hykqaFBjirY/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Qovery URL.
- Step 03
Save and start
Save the connection and enable Qovery in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"qovery": {
"url": "https://edge.vinkius.com/vk_preview_TO2qfcTL6CfQKOXfGLBnMgWFpOD49hykqaFBjirY/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Qovery
Open Agent mode in chat and ask: "Using Qovery, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"qovery": {
"url": "https://edge.vinkius.com/vk_preview_TO2qfcTL6CfQKOXfGLBnMgWFpOD49hykqaFBjirY/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Qovery
Ask Copilot: "Using Qovery, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"qovery": {
"url": "https://edge.vinkius.com/vk_preview_TO2qfcTL6CfQKOXfGLBnMgWFpOD49hykqaFBjirY/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Qovery
Open Cascade and ask: "Using Qovery, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"qovery": {
"url": "https://edge.vinkius.com/vk_preview_TO2qfcTL6CfQKOXfGLBnMgWFpOD49hykqaFBjirY/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Qovery
Ask Cline: "Using Qovery, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add qovery --transport http "https://edge.vinkius.com/vk_preview_TO2qfcTL6CfQKOXfGLBnMgWFpOD49hykqaFBjirY/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Qovery
Ask Claude: "Using Qovery, show me...". 10 tools are ready
Where the request belongs
Work Qovery can move forward.
For the DevOps engineer who's tired of context-switching between the terminal and the cloud console, or the developer who needs to push a hotfix to production without the friction of manual deployment steps.
Platform Engineer
Checks staging environment health and cluster configs while writing infrastructure-as-code.
Full-stack Developer
Pushes a fix to a branch and tells the agent to deploy the specific commit to the dev sandbox instantly.
Engineering Lead
Monitors scaling and health across multiple availability zones to ensure mission-critical apps stay live.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsArgo CD (GitOps)
Manage Kubernetes deployments via Argo CD. sync applications, check logs, and manage clusters/repositories directly from your AI agent.
Rancher
Equip your AI to manage Kubernetes environments directly through Rancher, overseeing clusters, namespaces, and active pods.
Porter PaaS
Orchestrate Kubernetes clusters via Porter. manage apps, projects, container tags, and enforce rollouts directly with your AI.
Portainer
Manage Docker containers and environments via Portainer. list, create, and start containers directly from your AI agent.
Argo Workflows
Automate Kubernetes orchestrations via Argo Workflows. monitor, list, and inspect active pods, crons, and workflow templates directly from any AI agent.
Civo (Cloud-native Kubernetes Cloud Provider API)
Manage Civo cloud infrastructure. provision Kubernetes clusters, control compute instances, and monitor usage directly via AI.
Bring your own AI
Change the model, client or framework. Keep Qovery connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Qovery.
The practical details behind the request, access and result.
What does the Qovery MCP do for my Kubernetes setup?
It lets you manage your Qovery-hosted Kubernetes environments through your AI client. You can check app health, list environments, and trigger deployments without leaving your IDE.
Can I use the Qovery MCP to deploy specific code versions?
Yes, you can tell your agent to deploy a specific Git commit SHA to your Qovery applications. This is great for pushing quick hotfixes to specific environments.
How does the Qovery MCP help with rolling restarts?
It allows your agent to perform zero-downtime rolling restarts of your Qovery applications. This is perfect for refreshing environment variables or clearing cache issues.
Does the Qovery MCP work with Cursor or VS Code?
Yes, it works with any MCP-compatible client, including Cursor, Windsurf, and VS Code. You just connect it via Vinkius and start managing your infrastructure.
Can I see the health of my microservices with the Qovery MCP?
Yes, your agent can inspect individual microservices, check replica counts, and verify auto-deploy settings across your Qovery projects.
How do I connect my Qovery account to the Connector?
You'll need to provide your Qovery Organization API Token. Once connected through Vinkius, your agent can access your projects, environments, and applications.
How do I securely obtain my Qovery API Token?
Sign in to your Qovery Console. Navigate to your Organization Settings, then to the API Tokens section. Click Generate Token (or Add). Give it a brief name, select the desired roles, and click Create. Copy the static string immediately as it won't be shown again, and paste it to authenticate.
Can it restart specific microservices?
Yes. Once you identify the app_id using the list components capabilities, you can instruct your agent to restart_application. This triggers a rolling restart exactly as if you clicked 'Restart' on the console. Traffic is routed seamlessly while pods re-initialize.
What does deploy specific Git commit do?
Normally, Qovery auto-deploys a branch. With deploy_application you can force Qovery to pull a specific commit ID (SHA) and deploy it immediately to an environment. This is perfect for hotfixes, effectively circumventing prolonged CI loops while ensuring zero downtime.
Is this capability safe to run on production?
Yes, but with caveats. Standard queries (like listing environments and getting stats) are entirely read-only. However, capabilities like restart and deploy are mutating operations. Always make sure you instruct your agent precisely and maintain manual approval checkpoints before executing deployment functions.
One connection away
Give your agent a direct line to Qovery.
Connect Qovery once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available