Overview
The Qovery MCP (Model Context Protocol) Server enables you to use Qovery AI Copilot directly in any MCP-compatible client, including ChatGPT, Claude, and Claude Code. This gives you natural language control over your entire Qovery infrastructure.Activation Required: Before using the MCP Server, organization administrators must first activate Qovery AI Copilot from the console settings. See the Getting Started guide for activation instructions.
What is MCP? The Model Context Protocol is an open standard developed by Anthropic that allows AI assistants to interact with external tools and systems. Learn more →
Operating Modes
By default, the MCP Server operates in read-only mode. To enable read-write access, you must explicitly opt in using a URL parameter and have the necessary permissions configured.- Read-Only Mode (Default)
- Read-Write Mode
Safe exploration - View-only accessIn read-only mode, the Copilot allows you to:
- View information and status
- Get help and recommendations
- Troubleshoot issues
- Monitor deployments
- Analyze infrastructure
- No changes to infrastructure
Permission Hierarchy: The MCP Server is read-only by default. To enable read-write access, you must:
- Add
read_write=trueto the MCP Server URL - Have AI write permissions enabled in your organization settings
- Use an API token with sufficient role permissions
read_write=true but your token has viewer permissions, the Copilot will remain in read-only mode.Prerequisites
Before using the MCP Server:- MCP-Compatible Client: Any MCP-compatible application (tested with ChatGPT, Claude, and Claude Code)
- Qovery Account: Active account with infrastructure
- API Token: Generate from Qovery Console (Settings → API Tokens)
Setup
1. Generate Your Qovery API Token
Open Qovery Console
Go to console.qovery.com
2. Configure Your MCP Client
The Qovery MCP Server is accessible via the following URL:Token in URL: If you provide the token in the URL, you won’t be prompted for authentication during the session. If omitted, the token will be requested when you first interact with the server.
Operating Mode: By default, the MCP Server operates in read-only mode. To enable read-write access, add
read_write=true to the URL. This requires AI write permissions to be enabled in your organization settings and a token with sufficient permissions.The Qovery MCP Server is also available through the MCP Registry.
Usage
Authentication with API Token
The Qovery MCP Server supports 3 authentication methods:- 1. Query Parameter
- 2. Custom Header
Add your token directly to the MCP Server URL:To force read-only mode:
Usage Examples
Once authenticated, you can interact with your infrastructure naturally:Check Status
Deploy Applications
Troubleshoot Issues
Manage Infrastructure
Troubleshooting
MCP Server Not Connecting
Issue: Client doesn’t show Qovery tools or cannot connect Solutions:- Verify the MCP Server URL is correct:
https://mcp-api-ai.qovery.com/mcp - Check your internet connection
- Restart your MCP client
- Contact Qovery Support if the issue persists
Authentication Errors
Issue: “Authentication failed” or “Invalid token” errors Solutions:- Verify your API token is correct (check for copy-paste errors)
- Ensure the token hasn’t been revoked or expired
- Verify the token has the necessary permissions for the requested operation
- Generate a new API token if needed from Qovery Console
Token Not Persisting
Issue: Need to re-enter token for each question Solutions:- Ensure you’re staying in the same conversation
- Provide the token at the beginning of new conversations
- Check if your client is maintaining the conversation context
Security Best Practices
Token Permissions
The API token has the same permissions as the role you selected during creation:- Can only access resources within your organization
- Respects organization RBAC policies
- All actions are audited in Qovery Console
Next Steps
Console Copilot
Use the built-in Console Copilot for quick help
Slack Bot
Set up the Slack Bot for team collaboration
View Capabilities
Explore everything Copilot can do
Common Tasks
Practical examples and use cases
Resources
- MCP Protocol: modelcontextprotocol.io
- Claude Desktop: claude.ai/download
- Technical Blog: How We Built an Agentic DevOps Copilot