Degreed MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Degreed as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Degreed. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Degreed?"
)
print(response)
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.
LlamaIndex agents combine Degreed tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Degreed MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Degreed
Why Use LlamaIndex with the Degreed MCP Server
LlamaIndex provides unique advantages when paired with Degreed through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Degreed tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Degreed tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Degreed, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Degreed tools were called, what data was returned, and how it influenced the final answer
Degreed + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Degreed MCP Server delivers measurable value.
Hybrid search: combine Degreed real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Degreed to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Degreed for fresh data
Analytical workflows: chain Degreed queries with LlamaIndex's data connectors to build multi-source analytical reports
Degreed MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Degreed to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Degreed to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDegreed + LlamaIndex FAQ
Common questions about integrating Degreed MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.