How to Use the Credly MCP in Vercel AI SDK

Q: Can Vercel AI SDK show Credly badge details?

Yes. By invoking getbadgedetails, your agent pulls specific metadata and displays it in your UI components.

Stream Credly badge data directly into your Vercel AI SDK frontends for live UI updates.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Credly MCP to Vercel AI SDK

Create your Vinkius account to connect Credly 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.

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Setup Credly with Vercel AI SDK

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Real-time badge monitoring in Vercel AI SDK

Feed badge status updates straight into your React or Next.js components. When your app calls `list_issued_badges`, the AI client pushes that data to the screen instantly. Stop waiting for spinners. Users see the exact moment a credential is verified because the tool results flow through your edge functions without delay.

Map skills to UI components

Use `list_badge_skills` to pull the latest requirements directly into your dashboard. Your interface updates the second the backend reports a change. Developers can build dynamic skill trackers that react to real-time API feedback. You don't need manual refreshes when the data travels this fast.

Manage organizational badge templates

Call `list_badge_templates` to pull active designs into your editing dashboard. This MCP Server lets your code interact with the Credly backend as if it were local state. Preview badge criteria by triggering `get_template_details`. Your users can adjust their issuance logic based on the live design specs returned by the tool.

Setup guide

Set up Credly MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 Credly tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 Credly transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Credly. 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.

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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 Credly MCP in Vercel AI SDK

Install the MCP packages and point your client to the Vinkius endpoint. You initialize the connection using your token, then pass the tools directly into your streamText function.

Yes. By invoking `get_badge_details`, your agent pulls specific metadata and displays it in your UI components.

It does. The transport layer is designed for low-latency communication, allowing your edge functions to query the API without significant overhead.

We enforce strict transport security. Your data stays between the Vinkius gateway and your application instance.

This server processes badge recipient identities and organization member records. We treat these as sensitive identifiers and transmit them only over encrypted connections.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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