Didacte MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Didacte 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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Vinkius supports streamable HTTP and SSE.
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 Didacte, 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 Didacte MCP Server
Integrate Didacte (by Workleap), the powerful and user-friendly learning management system (LMS), directly into your AI workflow. Manage your course catalog, monitor student enrollments and real-time progress, and audit your organization's learning activity using natural language.
The Vercel AI SDK gives every Didacte 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.
What you can do
- Course Oversight — List and retrieve detailed configuration for all courses available in your Didacte portal.
- Learner Intelligence — Access detailed profiles for users and track their learning history across the organization.
- Progress Tracking — Monitor individual enrollment progress and identify active learners in real-time.
- Curriculum Research — List lessons and modules within courses to understand the learning structure and content.
The Didacte 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 Didacte to Vercel AI SDK via MCP
Follow these steps to integrate the Didacte MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Didacte and passes them to the LLM
Why Use Vercel AI SDK with the Didacte MCP Server
Vercel AI SDK provides unique advantages when paired with Didacte 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 Didacte integration everywhere
Built-in streaming UI primitives let you display Didacte 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
Didacte + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Didacte MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Didacte in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Didacte tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Didacte capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Didacte through natural language queries
Didacte MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Didacte to Vercel AI SDK via MCP:
get_account_metadata
Retrieve metadata and usage limits for your Didacte organization
get_course_details
Get detailed settings and information for a specific course
get_user_learning_profile
Get full profile and summary for a specific user
list_active_learning_progress
Identify enrollments where learners have made recent progress (mock logic)
list_course_curriculum
List all lessons and modules within a specific course
list_course_enrollments
List all users currently enrolled in a specific course
list_lms_courses
List all available courses in your Didacte organization
list_organization_users
List all users and learners registered in your organization
list_user_enrollments
List all courses a specific user is enrolled in
search_courses_by_title
Search for a course using a title keyword
Example Prompts for Didacte in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Didacte immediately.
"List all active courses in our portal."
"What is the progress for user 'Alice Johnson' in the 'Compliance' course?"
"Search for courses related to 'Leadership'."
Troubleshooting Didacte MCP Server with Vercel AI SDK
Common issues when connecting Didacte to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDidacte + Vercel AI SDK FAQ
Common questions about integrating Didacte 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.Connect Didacte with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Didacte to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.