How to Use the Degreed MCP in LlamaIndex

Q: How do I load Degreed data into LlamaIndex?

Install llama-index-tools-mcp. Set up a BasicMCPClient pointing to the Vinkius URL, wrap it in an McpToolSpec, and pass those tools to your FunctionAgent.

Q: Can LlamaIndex embed the Degreed learning catalog?

Yes. You can loop through searchlearningcatalog results and convert the titles and descriptions into document nodes for your vector database.

Index Degreed catalogs and user skills directly into LlamaIndex for semantic search and grounded RAG applications.

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Connect Degreed MCP to LlamaIndex

Create your Vinkius account to connect Degreed to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Degreed with LlamaIndex

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Build a RAG Pipeline with the Degreed MCP Server

LlamaIndex turns flat API responses into a searchable knowledge base using this integration. You can pull your entire organization's training taxonomy using `list_defined_skills` and index it. When an employee asks how to level up in Python, the agent searches that vector store instead of guessing. The same logic applies to available courses. Call `list_learning_content` to grab all the titles, providers, and URLs. Your LlamaIndex application embeds that metadata, allowing natural language queries to instantly surface the right training materials.

Ground Answers in Real Completion Data

Stop relying on stale spreadsheets to know who knows what. You can run `list_user_completions` through this MCP integration and feed the timestamps and earned skill points straight into your document store. When a project manager asks who recently finished the compliance training, the agent queries the index. It pulls the exact names from `list_active_learners` and generates an answer backed by actual system records.

Map Pathways to User Profiles

Complex training requirements often confuse teams. Your setup can pull the exact requirements using `list_learning_pathways` and store the objectives and duration data as queryable nodes. Connect that data to specific individuals by indexing `get_user_profile` outputs. The agent cross-references a person's current active pathways against the master list, highlighting exactly what they need to finish by Friday.

Setup guide

Set up Degreed MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Degreed MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Degreed tools.",
)
response = await agent.run("List recent Degreed data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Degreed. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Degreed MCP in LlamaIndex

Install `llama-index-tools-mcp`. Set up a `BasicMCPClient` pointing to the Vinkius URL, wrap it in an `McpToolSpec`, and pass those tools to your `FunctionAgent`.

Yes. You can loop through `search_learning_catalog` results and convert the titles and descriptions into document nodes for your vector database.

It lets you run semantic searches over your talent pool. Instead of exact keyword matches, you can query for someone good with data and retrieve profiles with relevant skill tags.

You control the polling. Write a script that hits the endpoints nightly and refreshes your document store with the latest completion records.

Vinkius runs every request in an ephemeral V8 sandbox. When you pull organizational affiliations or professional titles, the connection drops immediately after the response, leaving zero footprint.

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