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Innform MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Innform through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Innform, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Innform MCP Server

Empower your AI agents to manage your training platform with Innform. This MCP server allows you to list learners, track course completion, manage learning pathways, and view results directly through the Innform API. Ideal for automating corporate training and employee development.

The Vercel AI SDK gives every Innform tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The Innform MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Innform to Vercel AI SDK via MCP

Follow these steps to integrate the Innform MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Innform and passes them to the LLM

Why Use Vercel AI SDK with the Innform MCP Server

Vercel AI SDK provides unique advantages when paired with Innform through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Innform integration everywhere

03

Built-in streaming UI primitives let you display Innform tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Innform + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Innform MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Innform in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Innform tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Innform capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Innform through natural language queries

Innform MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Innform to Vercel AI SDK via MCP:

01

get_learner

Retrieves details for a specific learner

02

get_me

Gets current authenticated user info

03

list_courses

Lists all courses

04

list_departments

Lists all departments

05

list_learners

Lists all learners in Innform

06

list_locations

Lists all organization locations

07

list_modules

Lists all training modules

08

list_pathways

Lists all learning pathways

09

list_results

Lists learner assessment and course results

10

list_tags

Lists all defined tags

Example Prompts for Innform in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Innform immediately.

01

"List all active learners in my Innform account."

02

"Show me the results for 'Cybersecurity Awareness' course."

03

"Check for any new learning pathways."

Troubleshooting Innform MCP Server with Vercel AI SDK

Common issues when connecting Innform to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Innform + Vercel AI SDK FAQ

Common questions about integrating Innform MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Innform to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.