2,500+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Degreed as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="degreed_agent",
            tools=tools,
            system_message=(
                "You help users with Degreed. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Degreed tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Degreed MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 10 tools from Degreed automatically

Why Use AutoGen with the Degreed MCP Server

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

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Degreed tools to solve complex tasks

02

Role-based architecture lets you assign Degreed tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Degreed tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Degreed tool responses in an isolated environment

Degreed + AutoGen Use Cases

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

01

Collaborative analysis: one agent queries Degreed while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Degreed, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Degreed data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Degreed responses in a sandboxed execution environment

Degreed MCP Tools for AutoGen (10)

These 10 tools become available when you connect Degreed to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Degreed + AutoGen FAQ

Common questions about integrating Degreed MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Degreed tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Degreed to AutoGen

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