Degreed MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Degreed through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Degreed Assistant",
instructions=(
"You help users interact with Degreed. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Degreed"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from Degreed through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Degreed, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Degreed MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Degreed
Why Use OpenAI Agents SDK with the Degreed MCP Server
OpenAI Agents SDK provides unique advantages when paired with Degreed through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Degreed + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Degreed MCP Server delivers measurable value.
Automated workflows: build agents that query Degreed, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Degreed, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Degreed tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Degreed to resolve tickets, look up records, and update statuses without human intervention
Degreed MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Degreed to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Degreed to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Degreed + OpenAI Agents SDK FAQ
Common questions about integrating Degreed MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Degreed 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 Degreed to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.