How to Use the Innform MCP in Vercel AI SDK

Stream real-time learner data into your Vercel AI SDK interface without waiting for background loading states.

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Connect Innform MCP to Vercel AI SDK

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

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Live learner data streaming

Pipe `list_results` and `get_learner` outputs directly into your React or Svelte components. Your UI updates as the data arrives, removing the need for clunky loading spinners. This MCP Server handles the connection so you can focus on the render loop. Simply call the tools inside your `streamText` function to push live training progress to your users.

Direct course metadata access

Fetch current training modules or course tags on demand using `list_modules` and `list_tags`. This gives your AI agent instant context about the available curriculum. Your edge functions remain fast because you pull only the specific records needed for the current conversation. It's a clean way to keep your frontend state in sync with your learning platform.

Authenticated user context

Use `get_me` to identify the current user and tailor the interface based on their specific permissions. Your AI client will always know who is asking for data. This keeps your application logic secure and scoped. Your users get a personalized view of their own learning pathways and status the second they interact with your chat.

Setup guide

Set up Innform 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 Innform 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 Innform 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 Innform. 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 Innform MCP in Vercel AI SDK

Install the MCP client packages and point them to your Vinkius endpoint URL. You then map the tools directly into your `generateText` configuration.

Yes, you catch errors directly in your TypeScript code. Since it's just standard async calls, you can implement custom fallback logic for any failed request.

The API responds with low latency, making it a good match for streaming. You'll see results populate your UI almost instantly.

Data stays between your server and the client. It never hits third-party storage during the transmission process.

The server transmits only the data fields you explicitly request through the tools. All connections are encrypted and restricted to your authenticated session.

Use it with your favorite AI tools

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