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How to Use the AcademyOfMine MCP in LlamaIndex

Index your AcademyOfMine curriculum and student data directly into LlamaIndex for semantic search.

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LlamaIndex

Connect AcademyOfMine MCP to LlamaIndex

Create your Vinkius account to connect AcademyOfMine 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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Index LMS data with LlamaIndex

Querying an API is fine, but making that data searchable is better. You use this MCP Server to pull everything via `list_courses` and dump it into a vector store. Now your RAG application understands your entire educational catalog. When a user asks about prerequisites, the agent does not guess. It retrieves the exact structure using `get_course_curriculum` and grounds its answer in actual portal data. Hallucinations stop being a problem.

Build a student support oracle

Support tickets pile up when learners cannot find their assignments. Your knowledge base pulls live status using `get_user_details` and combines it with your FAQ documents. The agent figures out exactly what the student is missing. If they need access to a specific module, it can even fire `enroll_student` right from the chat interface after verifying their eligibility.

Audit course configurations with the MCP Server

Keeping track of how your academy is set up takes hours. You can index the output of `get_portal_settings` alongside specific syllabus data from `get_course_details`. Finding inconsistencies becomes trivial. You just ask the index why a certain class is hidden, and it compares the live settings against your documented policies. If something needs fixing, it triggers `update_course`.

Setup guide

Set up AcademyOfMine MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 AcademyOfMine tools.",
)
response = await agent.run("List recent AcademyOfMine data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AcademyOfMine. 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 AcademyOfMine MCP in LlamaIndex

Install llama-index-tools-mcp and set up a BasicMCPClient. Pass that to McpToolSpec and call to_tool_list_async() to get your functions.
Yes. It runs list_courses and embeds the results. You can then run semantic queries against your entire course catalog.
It can if you let it. Tools like create_user and update_course are available, but you can restrict it using the allowed_tools filter.
Set include_resources=True when configuring the MCP tool spec. This lets the agent read static files and curriculum data directly into the knowledge base.
Your instance only sees what it requests. Vinkius handles the MCP connection via a single endpoint token, ensuring student names and enrollment records never touch unauthorized storage before hitting your private vector database.

Start using the AcademyOfMine MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for AcademyOfMine. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
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