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Portainer MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Add Endpoint, Authenticate, Create Docker Container, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Portainer 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 for Vercel AI SDK

The Portainer MCP Server for Vercel AI SDK is a standout in the Ship It category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
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 Portainer, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Portainer
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* 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 Portainer MCP Server

Connect your Portainer instance to any AI agent and orchestrate your containerized infrastructure through natural conversation.

The Vercel AI SDK gives every Portainer tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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

  • Container Management — List all Docker containers in any environment, create new ones from images, and start existing containers.
  • Environment Orchestration — Add and manage new local or remote Docker/Kubernetes environments (endpoints) to your Portainer setup.
  • Admin Control — Initialize admin accounts on fresh installations and authenticate to receive secure JWT tokens.
  • Configuration Control — Deploy containers with custom configurations, including exposed ports and host settings via JSON.

The Portainer MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Portainer tools available for Vercel AI SDK

When Vercel AI SDK connects to Portainer through Vinkius, your AI agent gets direct access to every tool listed below — spanning docker, kubernetes, container-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add endpoint on Portainer

Add a new environment (endpoint) to Portainer

action

Authenticate on Portainer

Authenticate to receive a JWT token

create

Create docker container on Portainer

Create a new Docker container

init

Init admin on Portainer

Initialize Portainer admin password

list

List docker containers on Portainer

List Docker containers in an environment

start

Start docker container on Portainer

Start a Docker container

Connect Portainer to Vercel AI SDK via MCP

Follow these steps to wire Portainer into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from Portainer and passes them to the LLM

Why Use Vercel AI SDK with the Portainer MCP Server

Vercel AI SDK provides unique advantages when paired with Portainer through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Portainer integration everywhere

03

Built-in streaming UI primitives let you display Portainer tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Portainer + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Portainer MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Portainer in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Portainer tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Portainer capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Portainer through natural language queries

Example Prompts for Portainer in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Portainer immediately.

01

"List all containers in Portainer endpoint 1."

02

"Create a new container named 'web-server' using the 'nginx:latest' image in endpoint 2."

03

"Start the container 'redis-cache' in endpoint 1."

Troubleshooting Portainer MCP Server with Vercel AI SDK

Common issues when connecting Portainer to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Portainer + Vercel AI SDK FAQ

Common questions about integrating Portainer MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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