Degreed MCP Server for AutoGen 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
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.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Degreed tools to solve complex tasks
Role-based architecture lets you assign Degreed tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Degreed tool calls
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.
Collaborative analysis: one agent queries Degreed while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Degreed, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Degreed data to make informed decisions about resource distribution
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:
get_content_details
Resolves detailed descriptions, associated skill tags, and duration metadata. Get detailed metadata for a specific learning item
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
list_active_learners
Identifies users with recent completion activity within the Degreed workspace. List users who have completed learning recently
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
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
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
list_learning_pathways
Returns pathway metadata including objectives, total duration, and completion requirements. List curated learning pathways available to users
list_learning_plans
Returns active learning plans, including target completion dates and linked competencies. List learning plans and goals configured in the system
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
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.
"Search for courses related to 'Data Science with Python'."
"List all learning plans for user 'Alice Johnson'."
"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.
McpWorkbench not found
pip install "autogen-ext[mcp]"Degreed + AutoGen FAQ
Common questions about integrating Degreed MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Degreed with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Degreed to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
