Innform MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Freeze User, Get User Details, Invite User, and more
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.
Ask AI about this App Connector for Vercel AI SDK
The Innform app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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();
* 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
Connect your Innform training portal to any AI agent and take full control of your Learning Management System (LMS) and employee compliance workflows through natural conversation.
The Vercel AI SDK gives every Innform tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- User Lifecycle Orchestration — List all learners and admins, retrieve detailed high-fidelity profile metadata, and invite new users programmatically
- Assignment Intelligence — Programmatically monitor completed and overdue training assignments to maintain a perfectly coordinated compliance overview
- Training Group Architecture — Access your complete directory of learner groups and their properties to oversee your organizational training structure
- Access Control Management — Programmatically freeze or unfreeze learner accounts to manage platform access dynamically based on organizational needs
- Operational Monitoring — Verify API connectivity and monitor training progress directly through your agent for instant performance reporting
The Innform MCP Server exposes 9 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.
All 9 Innform tools available for Vercel AI SDK
When Vercel AI SDK connects to Innform through Vinkius, your AI agent gets direct access to every tool listed below — spanning lms, employee-training, compliance-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Freeze a user account
Get details for a specific user
Invite a new learner
List completed training assignments
List learner groups
List overdue training assignments
List Innform users
Unfreeze a user account
Update an existing user
Connect Innform to Vercel AI SDK via MCP
Follow these steps to wire Innform into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Innform integration everywhere
Built-in streaming UI primitives let you display Innform tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query Innform in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Innform tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Innform capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Innform through natural language queries
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.
"List all active learners in my Innform portal."
"Show me all overdue training assignments for the Engineering team."
"Freeze account for learner ID 'user_123' immediately."
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.
createMCPClient is not a function
npm install @ai-sdk/mcpInnform + Vercel AI SDK FAQ
Common questions about integrating Innform MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.