edX MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect edX 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 edX, 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 edX MCP Server
Connect to edX and explore the world's largest online learning platform through natural conversation — no API key needed.
The Vercel AI SDK gives every edX tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 Search — Search thousands of courses by topic, university, level and language
- Course Details — Get full course info including descriptions, prerequisites and effort estimates
- Course Runs — Find upcoming and current course offerings with start dates and enrollment links
- Programs — Browse MicroMasters, Professional Certificates, XSeries and Bootcamps
- Organizations — Explore all partner universities and institutions (Harvard, MIT, Google, IBM)
- Subjects — Discover all subject categories available on the platform
The edX MCP Server exposes 8 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 edX to Vercel AI SDK via MCP
Follow these steps to integrate the edX 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 8 tools from edX and passes them to the LLM
Why Use Vercel AI SDK with the edX MCP Server
Vercel AI SDK provides unique advantages when paired with edX 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 edX integration everywhere
Built-in streaming UI primitives let you display edX 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
edX + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the edX MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query edX in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate edX tools and return structured JSON responses to any frontend
Chatbots with tool use: embed edX capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with edX through natural language queries
edX MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect edX to Vercel AI SDK via MCP:
get_course
Returns title, description, organization, level, subjects, pacing, estimated effort, prerequisites and available course runs. Get detailed info for a specific edX course
get_course_run
Get details for a specific course run
get_course_runs
Optionally filter by course key and status (upcoming, current, archived). Get course runs (scheduled offerings) for courses
get_organizations
Returns organization names, descriptions, logos and course counts. Includes Harvard, MIT, Berkeley, Google, IBM and many more. Get partner organizations that offer courses on edX
get_program
Get details for a specific edX program
get_subjects
Returns subject names, descriptions and course counts. Useful for discovering what topics are covered on the platform. Get course subject categories
search_courses
Supports free-text search, filtering by organization, level (beginner/intermediate/advanced), language, subject. Returns course titles, descriptions, organizations, levels, subjects and enrollment links. Search for online courses on edX
search_programs
Includes MicroMasters, Professional Certificates, XSeries and Bootcamps. Returns program titles, descriptions, course counts and type. Search for edX programs (MicroMasters, Professional Certificates, XSeries)
Example Prompts for edX in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with edX immediately.
"Find machine learning courses from Harvard."
"Show me all MicroMasters programs in Data Science."
"What organizations offer courses on edX?"
Troubleshooting edX MCP Server with Vercel AI SDK
Common issues when connecting edX to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpedX + Vercel AI SDK FAQ
Common questions about integrating edX 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 edX 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 edX to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.