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Senar.io MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Add Content, Create User And Assign, Get Activity Data, and more

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

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Ask AI about this App Connector for Vercel AI SDK

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The Senar.io app connector for Vercel AI SDK is a standout in the Industry Titans 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

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 Senar.io, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Senar.io
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Senar.io MCP Server

Connect your Senar.io account to any AI agent and take full control of your augmented reality training orchestration through natural conversation. Senar.io provides a premier platform for VR/AR simulators, and this integration allows you to retrieve training metadata, assign simulators to users, and monitor performance results directly from your chat interface.

The Vercel AI SDK gives every Senar.io 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 & Trainee Orchestration — List all managed users and retrieve detailed profile metadata, including creating and assigning users to collections programmatically.
  • Simulator Lifecycle Management — Access and monitor your AR simulator collections and retrieve detailed module metadata directly from the AI interface.
  • Activity & Performance Intelligence — Retrieve real-time training activity logs, including attempts, success rates, and duration data via natural language.
  • Session & History Control — Access historical user session history to ensure your training compliance and skill development are always synchronized.
  • Operational Monitoring — Track organization-wide training health and manage collection assignments using simple AI commands.

The Senar.io 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 Senar.io tools available for Vercel AI SDK

When Vercel AI SDK connects to Senar.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning senar, augmented-reality, training-automation, 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.

add_content

Add content to a collection

create_user_and_assign

Create a new user and assign them to an AR collection

get_activity_data

Get detailed training activity results

get_collection_details

Get details for a content collection

get_progress

Get learning progress for a user

get_user_details

Get details for a specific user

get_user_sessions

List all sessions for a specific user

list_collections

List all AR simulator collections

list_users

List all users in your organization

Connect Senar.io to Vercel AI SDK via MCP

Follow these steps to wire Senar.io into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 9 tools from Senar.io and passes them to the LLM

Why Use Vercel AI SDK with the Senar.io MCP Server

Vercel AI SDK provides unique advantages when paired with Senar.io 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 Senar.io integration everywhere

03

Built-in streaming UI primitives let you display Senar.io 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

Senar.io + Vercel AI SDK Use Cases

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

01

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

02

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

03

Chatbots with tool use: embed Senar.io capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Senar.io through natural language queries

Example Prompts for Senar.io in Vercel AI SDK

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

01

"List all active collections in my Senar account."

02

"Show me the learning progress for all users in the Engineering team with completion rates."

03

"Add a new training module to the Security collection and assign it to all engineering team members."

Troubleshooting Senar.io MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Senar.io + Vercel AI SDK FAQ

Common questions about integrating Senar.io 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.