Qovery MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Qovery through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"qovery": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Qovery Agent",
instructions:
"You help users interact with Qovery " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Qovery?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Qovery tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Qovery MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Qovery via MCP
Why Use Mastra AI with the Qovery MCP Server
Mastra AI provides unique advantages when paired with Qovery through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Qovery without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Qovery tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Qovery + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Qovery MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Qovery, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Qovery as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Qovery on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Qovery tools alongside other MCP servers
Qovery MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Qovery to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Qovery to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpQovery + Mastra AI FAQ
Common questions about integrating Qovery MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.