AcademyOfMine MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AcademyOfMine as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 AcademyOfMine. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in AcademyOfMine?"
)
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 AcademyOfMine MCP Server
Connect your AI agents to AcademyOfMine (AOM), the all-in-one platform for training and compliance. This MCP provides 11 tools to automate course management, user registration, and enrollment workflows directly from your AI agent.
LlamaIndex agents combine AcademyOfMine tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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 Orchestration — List, create, and update courses and their curriculum structures without leaving your agent
- Learner Management — Register new users, retrieve detailed profile information, and manage instructor accounts
- Enrollment Automation — Enroll or remove students from courses programmatically based on business logic
- Portal Configuration — Access and monitor default portal settings and configurations for your LMS instance
The AcademyOfMine MCP Server exposes 11 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 AcademyOfMine to LlamaIndex via MCP
Follow these steps to integrate the AcademyOfMine 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 11 tools from AcademyOfMine
Why Use LlamaIndex with the AcademyOfMine MCP Server
LlamaIndex provides unique advantages when paired with AcademyOfMine through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AcademyOfMine tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AcademyOfMine tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AcademyOfMine, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AcademyOfMine tools were called, what data was returned, and how it influenced the final answer
AcademyOfMine + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AcademyOfMine MCP Server delivers measurable value.
Hybrid search: combine AcademyOfMine real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AcademyOfMine 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 AcademyOfMine for fresh data
Analytical workflows: chain AcademyOfMine queries with LlamaIndex's data connectors to build multi-source analytical reports
AcademyOfMine MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect AcademyOfMine to LlamaIndex via MCP:
create_course
Create a new course profile
create_user
Create a new user account
enroll_student
Enroll a student in a course
get_course_curriculum
Retrieve the curriculum structure of a course
get_course_details
Get detailed information for a specific course
get_portal_settings
Retrieve LMS portal default settings
get_user_details
Get detailed information for a specific user
list_courses
List all courses available in the LMS
list_users
List learners and instructors in the portal
unenroll_student
Remove a student from a course
update_course
Update an existing course
Example Prompts for AcademyOfMine in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AcademyOfMine immediately.
"List all active courses in my AcademyOfMine portal and show their IDs."
"Enroll student 'user_777' into course 'crs_101'."
"Show me the curriculum details for course 'crs_advanced'."
Troubleshooting AcademyOfMine MCP Server with LlamaIndex
Common issues when connecting AcademyOfMine to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAcademyOfMine + LlamaIndex FAQ
Common questions about integrating AcademyOfMine 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 AcademyOfMine 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 AcademyOfMine to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.