Degreed MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Degreed through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"degreed": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Degreed, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Degreed through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Degreed MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Degreed via MCP
Why Use LangChain with the Degreed MCP Server
LangChain provides unique advantages when paired with Degreed through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Degreed MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Degreed queries for multi-turn workflows
Degreed + LangChain Use Cases
Practical scenarios where LangChain combined with the Degreed MCP Server delivers measurable value.
RAG with live data: combine Degreed tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Degreed, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Degreed tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Degreed tool call, measure latency, and optimize your agent's performance
Degreed MCP Tools for LangChain (10)
These 10 tools become available when you connect Degreed to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Degreed to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDegreed + LangChain FAQ
Common questions about integrating Degreed MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.