Illumidesk MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Illumidesk 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 Illumidesk. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Illumidesk?"
)
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 Illumidesk MCP Server
Connect your AI agents to Illumidesk, the AI-powered learning management system. This MCP server allows you to list campuses, manage courses, track user memberships, and access activity logs directly through the Illumidesk API. Ideal for automating education workflows and course management.
LlamaIndex agents combine Illumidesk 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.
The Illumidesk 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 Illumidesk to LlamaIndex via MCP
Follow these steps to integrate the Illumidesk 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 Illumidesk
Why Use LlamaIndex with the Illumidesk MCP Server
LlamaIndex provides unique advantages when paired with Illumidesk through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Illumidesk tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Illumidesk tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Illumidesk, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Illumidesk tools were called, what data was returned, and how it influenced the final answer
Illumidesk + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Illumidesk MCP Server delivers measurable value.
Hybrid search: combine Illumidesk real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Illumidesk 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 Illumidesk for fresh data
Analytical workflows: chain Illumidesk queries with LlamaIndex's data connectors to build multi-source analytical reports
Illumidesk MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Illumidesk to LlamaIndex via MCP:
get_activity_logs
Retrieves activity logs for a specific campus
get_campus
Retrieves details for a specific campus
get_course
Retrieves details for a specific course
get_me
Gets current authenticated user info
list_campuses
Lists all campuses in Illumidesk
list_courses
Lists all courses within a specific campus
list_lti_credentials
Lists all LTI credentials for a campus
list_lti_deployments
Lists all LTI deployments for a campus
list_memberships
Lists all user memberships in a specific campus
list_users
Lists all users registered in a specific campus
Example Prompts for Illumidesk in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Illumidesk immediately.
"List all campuses in my Illumidesk account."
"Show me courses for campus slug 'main-campus'."
"Check who is enrolled in course 'ai-fundamentals'."
Troubleshooting Illumidesk MCP Server with LlamaIndex
Common issues when connecting Illumidesk to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpIllumidesk + LlamaIndex FAQ
Common questions about integrating Illumidesk 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 Illumidesk 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 Illumidesk to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.