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Vinkius

Docker Hub MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Docker Hub through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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

main();
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About Docker Hub MCP Server

Connect your Docker Hub account to any AI agent and manage your container images through natural conversation.

The Vercel AI SDK gives every Docker Hub tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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

  • Repository Management — List, create, update and delete Docker image repositories
  • Tag Discovery — Browse available image tags with versions, sizes and architecture info
  • Account Info — View your user profile, organizations and repository statistics
  • Image Search — Search for public Docker images by name or description
  • Pull Stats — Monitor pull counts and repository popularity metrics

The Docker Hub 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 Docker Hub to Vercel AI SDK via MCP

Follow these steps to integrate the Docker Hub MCP Server with Vercel AI SDK.

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 10 tools from Docker Hub and passes them to the LLM

Why Use Vercel AI SDK with the Docker Hub MCP Server

Vercel AI SDK provides unique advantages when paired with Docker Hub 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 Docker Hub integration everywhere

03

Built-in streaming UI primitives let you display Docker Hub 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

Docker Hub + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Docker Hub MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Docker Hub to Vercel AI SDK via MCP:

01

create_repository

Requires the namespace (your username or org) and repository name. Optionally set a description and visibility (public/private). Returns the created repository. Create a new Docker Hub repository

02

delete_repository

Provide the namespace and repository name. WARNING: this action is irreversible. Delete a Docker Hub repository

03

get_repository

Provide the namespace (username/org) and repository name. Get details for a specific Docker Hub repository

04

get_tag

Provide the namespace, repository name and tag name (e.g. "latest", "v1.2.3"). Get details for a specific image tag

05

get_user

Returns username, email, full name, location, company and account type. Use this to verify your access token is working correctly. Get the authenticated Docker Hub user info

06

list_organizations

Each organization includes its name, full name, type and creation date. List organizations the user belongs to

07

list_repositories

Each repository shows its name, namespace, description, star count, pull count, visibility (public/private) and last updated date. Optionally set pagination parameters. List Docker Hub repositories (images)

08

list_tags

Each tag shows the tag name, image size, last pushed date and digest. Useful for discovering available image versions. List tags for a Docker Hub repository

09

search_repositories

Returns matching repos with their namespace, name, star count, pull count and description. Useful for discovering community images. Search for Docker Hub repositories

10

update_repository

Provide the namespace, repository name and a JSON object with fields to update (e.g. {"description": "New description", "is_private": true}). Only provided fields will be modified. Update a Docker Hub repository

Example Prompts for Docker Hub in Vercel AI SDK

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

01

"List all my Docker repositories."

02

"Show me all available tags for the nginx official image."

03

"Search for official Python images on Docker Hub."

Troubleshooting Docker Hub MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Docker Hub + Vercel AI SDK FAQ

Common questions about integrating Docker Hub 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.

Connect Docker Hub to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.