Qovery MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"qovery": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Qovery MCP Server
Connect your Qovery infrastructure to any AI agent and bring DevOps execution directly into your coding environment.
Cursor's Agent mode turns Qovery into an in-editor superpower. Ask Cursor to generate code using live data from Qovery and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Map your Infrastructure — Traverse effortlessly through your Qovery Organizations, Projects, and Environments to build a complete mental map of your deployments
- Monitor Applications — Inspect individual microservices, check active replica counts, verify auto-deploy settings, and get real-time status updates without switching contexts to the Qovery dashboard
- Take Action via Chat — Trigger zero-downtime rolling restarts to cycle Kubernetes pods and refresh environment variables directly inside Claude or Cursor
- Targeted Deployments — Issue a fast-track deploy of a specific Git commit SHA for hotfixes or localized feature testing, all handled friction-free by the LLM
The Qovery MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Qovery to Cursor via MCP
Follow these steps to integrate the Qovery MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Qovery
Open Agent mode in chat and ask: "Using Qovery, help me...". 10 tools available
Why Use Cursor with the Qovery MCP Server
Cursor AI Code Editor provides unique advantages when paired with Qovery through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Qovery + Cursor Use Cases
Practical scenarios where Cursor combined with the Qovery MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Qovery MCP Tools for Cursor (10)
These 10 tools become available when you connect Qovery to Cursor via MCP:
deploy_application
Triggers an immediate deployment of a specific Git commit SHA
get_application
Retrieves details for a specific Qovery application
get_environment
Retrieves details for a specific Qovery environment
get_organization
Retrieves details for a specific Qovery organization
get_project
Retrieves details for a specific Qovery project
list_applications
Lists all applications running in a specific environment
list_environments
Lists all environments (Production, Staging, etc.) in a project
list_organizations
Lists all Qovery organizations associated with the token
list_projects
Lists all projects within a Qovery organization
restart_application
Performs a zero-downtime rolling restart of a Qovery application
Example Prompts for Qovery in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Qovery immediately.
"List all Qovery projects and tell me how many there are."
"Check the health and limits of the application in my staging environment."
"Deploy commit 7a8f9b2 to the backend application immediately."
Troubleshooting Qovery MCP Server with Cursor
Common issues when connecting Qovery to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Qovery + Cursor FAQ
Common questions about integrating Qovery MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Qovery with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Qovery to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
