How to Use the Docker Hub MCP in Vercel AI SDK
Stream your Docker Hub registry data directly into your Vercel AI SDK interface for real-time visibility.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Docker Hub MCP to Vercel AI SDK
Create your Vinkius account to connect Docker Hub to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Real-time image tracking in Vercel AI SDK
Pipe live repository data into your frontend components. Your AI client calls `list_repositories` and `list_tags` to display current image versions instantly. Stop waiting for background workers. The Vercel AI SDK handles the stream, so your users see image metadata as it arrives from the registry.
Automated repository management
Trigger repository creation or updates directly from your application logic. Use `create_repository` or `update_repository` based on your CI/CD pipeline state. This keeps your registry in sync with your deployment environment. Your application handles the logic while the MCP server executes the changes.
Registry discovery via AI
Search public images or verify your own setup using `search_repositories` and `get_user`. Your app can now query the registry for specific dependencies dynamically. It removes the need for hardcoded configuration. The AI client finds the correct image based on user input and provides it to your UI.
Set up Docker Hub MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Docker Hub tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Docker Hub transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Docker Hub. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Docker Hub MCP in Vercel AI SDK
Use it with your favorite AI tools
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