How to Use the Certifier MCP in Vercel AI SDK

Q: How do I initialize the Certifier MCP Server in my Vercel AI SDK project?

Install @ai-sdk/mcp and call createMCPClient with the Vinkius HTTP endpoint. Pass the MCP client tools into streamText and remember to call mcpClient.close() to clean up connections inside your Next.js route.

Q: Can my Vercel AI SDK agent modify a certificate after calling issuecredential on Certifier?

No, once your agent calls issuecredential, the certificate is locked and gets a live verification URL. Use updatecredential before that step if your Vercel AI SDK agent needs to fix names or emails in the draft.

Q: How does Vercel AI SDK handle long-running sendcredential tasks from Certifier?

You stream the step-by-step progress of sendcredential using streamText so the user sees the email dispatch in real-time. This prevents your Edge Functions from timing out while waiting for the Certifier API to finish.

Q: What is the fastest way to find a recipient's certificate?

Have your agent run searchcredentials with the recipient's email. This tool searches your entire history and returns matching records directly to your application context.

Build live-streaming React apps where your Vercel AI SDK agent issues and emails verified digital credentials on the fly.

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Connect Certifier MCP to Vercel AI SDK

Create your Vinkius account to connect Certifier 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 Certifier with Vercel AI SDK

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Stream credential drafts directly to React with this MCP Server

`create_credential` runs inside your Next.js edge route, letting your Vercel AI SDK agent build draft certificates live. The server sends the raw draft data straight to your frontend stream, bypassing the usual API lag. Once the draft looks right, the agent calls `update_credential` to tweak details based on real-time user input. You watch the certificate metadata update on screen as the LLM processes your instructions.

Instant verification and email delivery in the UI

Your Vercel AI SDK agent uses `issue_credential` to finalize the badge and lock in the verification URL. This operation commits the draft, so your users get a permanent, shareable link on their dashboard immediately. To finish the job, the agent executes `send_credential` to email the certificate directly to the recipient. The entire flow runs inside a single `streamText` call, keeping your frontend UI responsive and updated at every step.

Real-time template searching for custom badges

Querying your design library using `list_design_templates` lets your agent match the right look with the correct course. The Vercel AI SDK handles the tool call output, feeding the template options directly to your React components. After choosing the design, the agent calls `list_credential_templates` to grab the required structure. This lets you build dynamic, branded certificates without hardcoding template IDs into your frontend codebase.

Setup guide

Set up Certifier 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 Certifier 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 Certifier 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 Certifier. 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.

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Common questions about Certifier MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and call `createMCPClient` with the Vinkius HTTP endpoint. Pass the MCP client tools into `streamText` and remember to call `mcpClient.close()` to clean up connections inside your Next.js route.

No, once your agent calls `issue_credential`, the certificate is locked and gets a live verification URL. Use `update_credential` before that step if your Vercel AI SDK agent needs to fix names or emails in the draft.

You stream the step-by-step progress of `send_credential` using `streamText` so the user sees the email dispatch in real-time. This prevents your Edge Functions from timing out while waiting for the Certifier API to finish.

Have your agent run `search_credentials` with the recipient's email. This tool searches your entire history and returns matching records directly to your application context.

All recipient emails and names sent to the Certifier API run through Vinkius's sandboxed V8 isolates. The MCP server never writes this credential data to persistent local storage, keeping your student records isolated and secure.

Use it with your favorite AI tools

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

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