How to Use the AcademyOfMine MCP in LlamaIndex
Index your AcademyOfMine curriculum and student data directly into LlamaIndex for semantic search.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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`.
Set up AcademyOfMine MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 AcademyOfMine MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the AcademyOfMine MCP today
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