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Vinkius

Degreed MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
Degreed
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<40msKill switch
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 Degreed MCP Server

Integrate Degreed, the leading upskilling and learning experience platform (LXP), directly into your AI workflow. Discover available learning content, monitor employee skill profiles, and track progress across pathways and plans using natural language.

The Vercel AI SDK gives every Degreed 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

  • Content Discovery — Search the entire Degreed catalog for courses, articles, and videos matching specific keywords.
  • Skill Intelligence — List and review the defined skills taxonomy and individual user skill profiles.
  • Learning Oversight — Monitor user completions, active learning plans, and curated pathways.
  • User Research — Retrieve detailed metadata and activity summaries for learners in your organization.

The Degreed 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 Degreed to Vercel AI SDK via MCP

Follow these steps to integrate the Degreed MCP Server with Vercel AI SDK.

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 10 tools from Degreed and passes them to the LLM

Why Use Vercel AI SDK with the Degreed MCP Server

Vercel AI SDK provides unique advantages when paired with Degreed 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 Degreed integration everywhere

03

Built-in streaming UI primitives let you display Degreed 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

Degreed + Vercel AI SDK Use Cases

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

01

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

02

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

03

Chatbots with tool use: embed Degreed capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Degreed through natural language queries

Degreed MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Degreed to Vercel AI SDK via MCP:

01

get_content_details

Resolves detailed descriptions, associated skill tags, and duration metadata. Get detailed metadata for a specific learning item

02

get_user_profile

Resolves assigned skill ratings, learning progress, and active pathways within the Degreed ecosystem. Get full profile and skill data for a specific user

03

list_active_learners

Identifies users with recent completion activity within the Degreed workspace. List users who have completed learning recently

04

list_defined_skills

Returns the standardized list of skills and competencies defined by the organization for talent mapping. List the skills taxonomy defined in your organization

05

list_degreed_users

Returns a list of users with metadata including system IDs, professional titles, and organizational affiliations. List all users registered in your Degreed organization

06

list_learning_content

Returns content metadata including titles, providers, content types (e.g., article, video, course), and external URLs. List all available learning content in the Degreed catalog

07

list_learning_pathways

Returns pathway metadata including objectives, total duration, and completion requirements. List curated learning pathways available to users

08

list_learning_plans

Returns active learning plans, including target completion dates and linked competencies. List learning plans and goals configured in the system

09

list_user_completions

Returns a history of all learned items with completion timestamps and earned skill points. List all learning content completed by a specific user

10

search_learning_catalog

Matches terms against titles, descriptions, and skill tags to return a ranked list of relevant learning materials. Search for learning content by keyword or term

Example Prompts for Degreed in Vercel AI SDK

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

01

"Search for courses related to 'Data Science with Python'."

02

"List all learning plans for user 'Alice Johnson'."

03

"What skills are most common in the 'Engineering' team?"

Troubleshooting Degreed MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Degreed + Vercel AI SDK FAQ

Common questions about integrating Degreed 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.

Connect Degreed to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.