EdApp MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create New Learner, Get Account Info, Get Catalog Statistics, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect EdApp 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 EdApp app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 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 EdApp, 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 EdApp MCP Server
Connect your EdApp (now SC Training) account to any AI agent and take full control of your corporate training and mobile learning workflows through natural conversation.
The Vercel AI SDK gives every EdApp tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Learner Orchestration — List and manage your learning community programmatically, including registering new users and retrieving detailed learner profiles
- Catalog Intelligence — Access your complete course catalog and retrieve metadata for lessons and course collections to coordinate training content
- Success Monitoring — Programmatically track course progress and retrieve high-fidelity analytics on completion rates and student engagement
- Interaction Insight — Access detailed logs of lesson attempts and user activity to identify knowledge gaps and coordinate coaching
- Operational Visibility — Check active webhooks and retrieve account metadata directly through your agent for instant L&D reporting
The EdApp MCP Server exposes 12 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 12 EdApp tools available for Vercel AI SDK
When Vercel AI SDK connects to EdApp through Vinkius, your AI agent gets direct access to every tool listed below — spanning edapp, microlearning, lms-api, 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 learner to EdApp
Get admin info
Check training stats
Check learner progress
Get user profile
Check lesson interactions
Get event notifications
List grouped content
List course content
List EdApp users
List all courses
Delete learner
Connect EdApp to Vercel AI SDK via MCP
Follow these steps to wire EdApp 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 EdApp MCP Server
Vercel AI SDK provides unique advantages when paired with EdApp 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 EdApp integration everywhere
Built-in streaming UI primitives let you display EdApp 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
EdApp + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the EdApp MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query EdApp in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate EdApp tools and return structured JSON responses to any frontend
Chatbots with tool use: embed EdApp capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with EdApp through natural language queries
Example Prompts for EdApp in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with EdApp immediately.
"List all active training courses in my EdApp account."
"Show me the progress report for course ID 'crs_1'."
"Register 'jane.doe@example.com' as a new learner."
Troubleshooting EdApp MCP Server with Vercel AI SDK
Common issues when connecting EdApp to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEdApp + Vercel AI SDK FAQ
Common questions about integrating EdApp 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.