Qovery MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Qovery through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Qovery and 2,500+ MCP Servers from a single visual interface.




{
"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.
Windsurf's Cascade agent chains multiple Qovery tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Qovery MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Qovery
Open Cascade and ask: "Using Qovery, help me...". 10 tools available
Why Use Windsurf with the Qovery MCP Server
Windsurf provides unique advantages when paired with Qovery through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Qovery + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Qovery MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Qovery and generate models, types, or handlers based on real API responses
Live debugging: query Qovery tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Qovery and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Qovery data with Cascade's code generation to scaffold entire features in minutes
Qovery MCP Tools for Windsurf (10)
These 10 tools become available when you connect Qovery to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Qovery to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Qovery + Windsurf FAQ
Common questions about integrating Qovery MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.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 Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
