2,500+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Degreed through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "degreed": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Degreed Agent",
    instructions:
      "You help users interact with Degreed " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Degreed?"
  );
  console.log(result.text);
}

main();
Degreed
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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.

Mastra's agent abstraction provides a clean separation between LLM logic and Degreed tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Degreed via MCP

Why Use Mastra AI with the Degreed MCP Server

Mastra AI provides unique advantages when paired with Degreed through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Degreed without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Degreed tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Degreed + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Degreed, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Degreed as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Degreed on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Degreed tools alongside other MCP servers

Degreed MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Degreed to Mastra AI 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 Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Degreed + Mastra AI FAQ

Common questions about integrating Degreed MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Degreed to Mastra AI

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