Coolify MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Coolify through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Coolify, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Coolify MCP Server
Connect your Coolify instance to any AI agent and take full control of your self-hosting and private cloud workflows through natural conversation.
The Vercel AI SDK gives every Coolify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Server Monitoring — List self-hosted nodes and retrieve intricate networking parameters including IP properties and Docker swarm statuses
- Application Management — List all managed frontend/backend apps and fetch elaborate internal topology metrics like mapped GitHub branches and Traefik proxy paths
- Lifecycle Control — Start, stop, and restart applications natively, allowing you to recycle container states and apply configuration updates instantly
- Deployment Automation — Trigger raw build pipelines to fetch the latest commits, rebuild Nixpacks images, and roll out updated Docker versions
- Database Oversight — Manage PostgreSQL, MySQL, and Redis configurations and extrapolate internal connection strings for secure application linking
- Resource Navigation — asociating Project repositories to explicit application UUIDs required for downstream mutations and operational auditing
The Coolify MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK 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 Coolify to Vercel AI SDK via MCP
Follow these steps to integrate the Coolify MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Coolify and passes them to the LLM
Why Use Vercel AI SDK with the Coolify MCP Server
Vercel AI SDK provides unique advantages when paired with Coolify through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Coolify integration everywhere
Built-in streaming UI primitives let you display Coolify tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Coolify + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Coolify MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Coolify in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Coolify tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Coolify capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Coolify through natural language queries
Coolify MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Coolify to Vercel AI SDK via MCP:
get_application
Examines mapped GitHub branches, automatic rollout toggles (push to deploy), and assigned Traefik reverse proxy FQDN paths. Fetch elaborate internal topology metrics for a given Application
get_database
Highly required when linking newly provisioned Web Apps to Backend Datastores. Extrapolate internal configuration arrays for a Database
get_server
Verifies IP properties, SSH connection validation statuses, and Docker executing ports resolving across the cluster. Get configuration schema mapped to a specific Coolify Server Node
list_applications
Generates the crucial map associating Project repositories to explicit application UUIDs required for downstream mutations (like restarting and stopping). List all frontend/backend Applications actively managed by Coolify
list_databases
Isolates database bounding boxes mapping to applications so you can properly retrieve Connection Strings and backup cadence timelines. List managed PostgreSQL, MySQL, and Redis configurations
list_servers
Used to identify the raw physical endpoints running Docker swarms that host subsequent applications. List all self-hosted Server Nodes attached to Coolify
restart_application
Ensures updated config `.env` variables injected via Coolify take effect immediately in runtime RAM. Bounce a Coolify application recycling its container states
start_application
Spin up containers mapped to a suspended Application UUID
stop_application
Used precisely for pausing billing or restricting web perimeter ingress during a cyber incident directly via the Coolify dashboard API. Halt execution algorithms suspending the mapped Application
trigger_deployment
Performs `git fetch`, rebuilds Nixpacks images, caches dependencies, and rolls the updated Docker image out directly over the previous active application version. Trigger a raw build pipeline fetching the latest Git commit
Example Prompts for Coolify in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Coolify immediately.
"List all active servers in my Coolify instance"
"Trigger a deployment for application 'backend-api'"
"What is the connection string for database 'user-db-prod'?"
Troubleshooting Coolify MCP Server with Vercel AI SDK
Common issues when connecting Coolify to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCoolify + Vercel AI SDK FAQ
Common questions about integrating Coolify MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Coolify 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 Coolify to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.