How do I get an eduMe API Key?

Log in to your eduMe dashboard, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from there. API access may require an enterprise-level plan.

Can the agent assign courses to users?

This integration currently focuses on listing and auditing training data. Assigning courses or creating new users should be managed via the eduMe dashboard or specific enrollment API endpoints.

Does the integration show real-time completion?

Yes, you can use the list_training_courses or get_user_training_profile tools to retrieve the latest completion rates and statuses as reported by the eduMe platform.

eduMe MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: eduMe
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add eduMe as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 eduMe. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in eduMe?"
    )
    print(response)

asyncio.run(main())

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About eduMe MCP Server

Integrate eduMe, the leading mobile-first training platform for the deskless workforce, directly into your AI workflow. Manage your training courses and modules, track trainee profiles and completion rates, monitor team performance, and oversee your organizational learning metadata using natural language.

LlamaIndex agents combine eduMe 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

Course Oversight — List and retrieve detailed information and completion metrics for all your mobile training courses.
Trainee Intelligence — Monitor user training profiles, identifying completed courses, active enrollments, and organizational team memberships.
Team Management — Access and monitor all training teams and user groups configured in your eduMe account.
Learning Auditing — Retrieve high-level summaries of team activity, course engagement, and organizational training health.

The eduMe 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 eduMe to LlamaIndex via MCP

Follow these steps to integrate the eduMe 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 eduMe

Why Use LlamaIndex with the eduMe MCP Server

LlamaIndex provides unique advantages when paired with eduMe through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine eduMe tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain eduMe tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query eduMe, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what eduMe tools were called, what data was returned, and how it influenced the final answer

eduMe + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the eduMe MCP Server delivers measurable value.

Hybrid search: combine eduMe real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query eduMe 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 eduMe for fresh data

Analytical workflows: chain eduMe queries with LlamaIndex's data connectors to build multi-source analytical reports

eduMe MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect eduMe to LlamaIndex via MCP:

get_course_details

Get detailed settings and module list for a specific training course

get_edume_account_metadata

Retrieve metadata and limits for your eduMe account

get_user_training_profile

Get full training history and profile for a specific user

list_latest_training_content

Identify the most recently created or updated training courses

list_top_performing_courses

Identify courses with the highest completion or engagement rates (mock logic)

list_trained_users

List all users registered in your eduMe training platform

list_training_courses

List all mobile training courses available in eduMe

list_training_teams

List all teams and user groups configured in your eduMe account

quick_team_training_audit

Retrieve a high-level summary of team activity and member counts

search_trainees_by_keyword

Search for users using a name keyword or external identifier

Example Prompts for eduMe in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with eduMe immediately.

"List all mobile training courses."

"Show me the training profile for user 'john_doe'."

"Which teams have the lowest course engagement?"

Troubleshooting eduMe MCP Server with LlamaIndex

Common issues when connecting eduMe to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

eduMe + LlamaIndex FAQ

Common questions about integrating eduMe MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.