How to Use the Innform MCP in Vercel AI SDK

Q: How do I connect Innform to the Vercel AI SDK?

Install the @ai-sdk/mcp package first. Use createMCPClient to connect to the server endpoint, and pass the tools directly to your text generation functions to let your agent run queries against your LMS.

Q: Can I stream Innform training progress in real-time with Vercel AI SDK?

Yes. When the agent calls listcompletedassignments, the Vercel AI SDK streams the raw data directly to your React components, letting you render training progress instantly without waiting for the full payload.

Q: How do I invite new learners to Innform using Vercel AI SDK?

Your frontend chat interface can trigger inviteuser through the SDK. The AI client handles the email input from the user, calls the tool, and streams the success confirmation back to your UI.

Q: How does the server secure my team's training records?

All user accounts and training metrics accessed via listusers are processed through ephemeral V8 isolates. No employee data is stored on Vinkius, keeping your MCP integration secure and confidential.

Stream Innform LMS training metrics and user states directly to your React or Next.js frontend using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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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-stream Innform metrics with Vercel AI SDK

Stop making managers stare at blank loading spinners while waiting for LMS data. This MCP Server lets your AI client pull data from `list_completed_assignments` and stream the results directly to your Next.js frontend as they happen. You get immediate UI updates. The moment an admin requests a compliance check, your application renders the progress list block-by-block, making the entire dashboard feel twice as fast.

Real-time user management on the Edge

Run lightweight user administration scripts right on the Vercel Edge. Your agent can call `get_user_details` or update profiles with `update_user` without spinning up heavy server instances. This keeps your training portal fast and responsive. Your React components receive and display updated user fields instantly, bypassing traditional database delays.

Instant compliance lockouts

When workers miss critical compliance deadlines, you need to act fast. Use `list_overdue_assignments` to identify delinquent accounts, then trigger `freeze_user` directly from a live chat window. This lets HR managers handle security and compliance issues on the fly. The Vercel AI SDK handles the streaming feedback, showing you the exact moment the account status changes.

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.

Connect Innform now

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 `@ai-sdk/mcp` package first. Use `createMCPClient` to connect to the server endpoint, and pass the tools directly to your text generation functions to let your agent run queries against your LMS.

Yes. When the agent calls `list_completed_assignments`, the Vercel AI SDK streams the raw data directly to your React components, letting you render training progress instantly without waiting for the full payload.

Your frontend chat interface can trigger `invite_user` through the SDK. The AI client handles the email input from the user, calls the tool, and streams the success confirmation back to your UI.

Yes. The lightweight MCP connection is fully compatible with Edge environments, allowing you to run quick lookups like `get_user_details` without incurring cold starts.

All user accounts and training metrics accessed via `list_users` are processed through ephemeral V8 isolates. No employee data is stored on Vinkius, keeping your MCP integration secure and confidential.

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