How to Use the MSAAQ MCP in LlamaIndex

Q: Will LlamaIndex cache MSAAQ data?

You control the indexing. Once you pull data from getlearningcoursedetails, LlamaIndex stores it in your vector store for semantic retrieval.

Q: Can I filter MSAAQ tools in LlamaIndex?

Use the allowedtools filter when defining your agent. This restricts the agent to only the specific MSAAQ functions you choose to expose.

Q: What happens if MSAAQ API connectivity drops?

Use checkapiconnectivity to probe the server status before queries. If the API is down, your agent can fall back to the last indexed state.

Index MSAAQ data into LlamaIndex to build knowledge-augmented agents that query live student records and course details.

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Connect MSAAQ MCP to LlamaIndex

Create your Vinkius account to connect MSAAQ 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 MSAAQ with LlamaIndex

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Index course catalogs for semantic search

Feed the output of `list_available_learning_courses` directly into your LlamaIndex vector store. You turn static course lists into a queryable knowledge base. Your agent answers student questions by searching the indexed details instead of just calling the API. You get faster, grounded responses based on your actual course library.

Query student progress with RAG

Use `get_my_active_enrollments` to pull current data into your index. You combine live API results with your internal documentation for a complete view. This method allows the agent to recall specific enrollment history when asked. You avoid hallucinations by forcing the agent to reference the indexed tool data.

Build a certificate verification engine

Add `verify_issued_certificate` to your FunctionAgent to provide real-time credential checks. You make the output of this tool part of your agent's permanent memory. The agent verifies the authenticity of a certificate and stores the result in your index for future reference. You can query past verification sessions whenever you need.

Setup guide

Set up MSAAQ 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 MSAAQ 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 MSAAQ tools.",
)
response = await agent.run("List recent MSAAQ data")

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Common questions about MSAAQ MCP in LlamaIndex

Install the MCP tool spec, initialize the BasicMCPClient, and convert tools to a list. Pass this list to your FunctionAgent to enable direct API interaction.

You control the indexing. Once you pull data from `get_learning_course_details`, LlamaIndex stores it in your vector store for semantic retrieval.

Use the allowed_tools filter when defining your agent. This restricts the agent to only the specific MSAAQ functions you choose to expose.

Your indexes live on your infrastructure. The MSAAQ MCP Server only provides the data you request, and it never leaves your secure environment.

Use `check_api_connectivity` to probe the server status before queries. If the API is down, your agent can fall back to the last indexed state.

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