DigitalChalk 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 DigitalChalk 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 DigitalChalk, 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 DigitalChalk MCP Server
Integrate DigitalChalk, the comprehensive learning management system (LMS), directly into your AI workflow. Manage your course offerings, monitor student enrollments and completion statuses, and track exam results using natural language.
The Vercel AI SDK gives every DigitalChalk 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
- Offering Oversight — List and retrieve detailed settings for all your active course offerings in the catalog.
- Learner Intelligence — Access detailed profiles for students and administrators and track their learning history.
- Progress Tracking — Monitor individual enrollment progress and identify recently completed courses.
- Assessment Monitoring — List exams and quizzes and track results to ensure academic compliance.
The DigitalChalk 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 DigitalChalk to Vercel AI SDK via MCP
Follow these steps to integrate the DigitalChalk 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 DigitalChalk and passes them to the LLM
Why Use Vercel AI SDK with the DigitalChalk MCP Server
Vercel AI SDK provides unique advantages when paired with DigitalChalk 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 DigitalChalk integration everywhere
Built-in streaming UI primitives let you display DigitalChalk 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
DigitalChalk + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DigitalChalk MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DigitalChalk in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DigitalChalk tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DigitalChalk capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DigitalChalk through natural language queries
DigitalChalk MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DigitalChalk to Vercel AI SDK via MCP:
get_lms_account_metadata
Retrieve metadata and settings for your DigitalChalk account
get_offering_details
Get detailed settings and information for a specific course offering
get_user_learning_profile
Get full profile and enrollment history for a specific user
list_assessment_exams
List all exams and quizzes defined in the system
list_course_offerings
List all available course offerings in your DigitalChalk catalog
list_high_performing_learners
Identify enrollments with a grade above a certain percentage (mock logic)
list_lms_users
List all students and administrators registered in your DigitalChalk account
list_recent_course_completions
Identify enrollments that have been recently completed (mock logic)
list_user_enrollments
List all courses a specific user is currently enrolled in
search_users_by_identity
Search for a user by their full name or email address
Example Prompts for DigitalChalk in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DigitalChalk immediately.
"List all active course offerings."
"Show me the grade for user 'John Doe' in 'Business Ethics'."
"Search for users with email '@example.com'."
Troubleshooting DigitalChalk MCP Server with Vercel AI SDK
Common issues when connecting DigitalChalk to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDigitalChalk + Vercel AI SDK FAQ
Common questions about integrating DigitalChalk 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 DigitalChalk 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 DigitalChalk to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.