Dokku 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 Dokku 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 Dokku, 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 Dokku MCP Server
Connect your Dokku instance to any AI agent and take full control of your self-hosted PaaS and container orchestration through natural conversation.
The Vercel AI SDK gives every Dokku 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
- Application Lifecycle — List all managed apps and retrieve the overarching directory of deployments on your own infrastructure bypassing standard PaaS fees
- Provisioning & Deallocation — Barely instantiate new application repositories or irreversibly dismantle all bound containers and DNS routing records
- Environment Auditing — Retrieve the exact
.envdictionary bound dynamically via the config plugin to observe runtime inputs and SQL credentials - Configuration Mutation — Inject or remove sensitive environment variables securely, triggering rolling app deployments natively across your cluster
- Process Scaling — Manipulate explicit replica counts dynamically, determining whether web or worker containers spool up to meet demand
- Live Log Streaming — Pull precise system execution tails to investigate explicit request stack traces and crashing node backtraces without SSH
- One-off Executions — Launch raw commands inside ephemeral isolated containers for maintenance tasks like DB migrations or custom scripts
The Dokku 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 Dokku to Vercel AI SDK via MCP
Follow these steps to integrate the Dokku 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 Dokku and passes them to the LLM
Why Use Vercel AI SDK with the Dokku MCP Server
Vercel AI SDK provides unique advantages when paired with Dokku 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 Dokku integration everywhere
Built-in streaming UI primitives let you display Dokku 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
Dokku + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dokku MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dokku in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dokku tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dokku capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dokku through natural language queries
Dokku MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Dokku to Vercel AI SDK via MCP:
create_app
Performs the structural network allocations setting up reverse-proxy hooks (Nginx/Traefik) preceding the actual codebase transfer. Provision a root App boundary wrapper on the Dokku VM
destroy_app
Instantly shuts down bound running docker containers orchestrating web/worker traffic, detaches volumes seamlessly, and removes explicit DNS routing records from the local VHOST mappings. Deallocate an App and dismantle all bound containers completely
get_logs
Bypasses SSH to investigate explicit request stack traces, crashing node backtraces, or slow SQL queries happening inside the closed containers. Stream Dokku Application Docker stdout and stderr logs
list_apps
Determines exactly which Docker containers are orchestrated internally by Dokku Core scaling plugins. List self-hosted Git-push Apps deployed via Dokku
list_config
env` or `ENV` dictionary bound dynamically via the `dokku config` plugin. Used strictly to observe runtime inputs (SQL credentials, external REST API tokens, Node_ENV bindings) governing app execution. Extract internal Environment variables loaded into the App
ps_restart
Dokku tears down old running docker processes spanning the App UUID, allocating updated dynamic ports tied via standard proxies (Nginx), ensuring zero downtime deploys if multiple replicas are alive. Bounce the application container dynamically
ps_scale
Determines whether the "web" container spins zero replicas (suspension), or if "worker" background tasks spool up to 10 endpoints. Scale structural internal application containers
run_command
Boots a brand new isolated Docker container cloning the production image layers for a single execution cycle. Useful for running `rake db:migrate`, `npm run script` safely disconnected from web traffic. Launch a raw one-off command inside an ephemeral container
set_config
Triggers a mandatory rolling app deployment unless the `--no-restart` daemon flag applies natively to the process. Critical for updating expired API auth tokens. Inject Environment Variables into a running Dokku Application
unset_config
Immediately triggers the executing Docker cluster to orchestrate a rapid replacement cycle to strip out the revoked value. Removes stale credentials safely. Remove sensitive Environment Variables disrupting App config
Example Prompts for Dokku in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dokku immediately.
"List all apps on my Dokku host"
"Scale the 'web' process of app 'api-server' to 3 replicas"
"Get the last 50 lines of logs for 'frontend-web'"
Troubleshooting Dokku MCP Server with Vercel AI SDK
Common issues when connecting Dokku to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDokku + Vercel AI SDK FAQ
Common questions about integrating Dokku 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 Dokku 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 Dokku to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.