360Learning MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add 360Learning 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 360Learning. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in 360Learning?"
)
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 360Learning MCP Server
Empower your corporate education strategy with 360Learning, the collaborative learning platform now fully integrated with your AI agent. By connecting 360Learning via the Model Context Protocol, you transform learning management from a complex administrative task into a natural conversation. Your agent can now seamlessly provision learners, audit course completions, and retrieve real-time training statistics without you ever navigating a LMS dashboard. It’s the smartest way to scale knowledge sharing and ensure your team stays ahead of the curve.
LlamaIndex agents combine 360Learning tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- User Management — List, create, and update learners and admins within your platform.
- Course Catalog — Browse available courses, view lesson details, and check enrollment status.
- Learning Paths — Manage structured training paths and monitor group progress across curriculum.
- Engagement Stats — Access completion rates, time spent, and assessment scores to gauge training effectiveness.
- Group Organization — List and manage departments or training cohorts for targeted learning delivery.
The 360Learning MCP Server exposes 6 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 360Learning to LlamaIndex via MCP
Follow these steps to integrate the 360Learning 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 6 tools from 360Learning
Why Use LlamaIndex with the 360Learning MCP Server
LlamaIndex provides unique advantages when paired with 360Learning through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine 360Learning tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain 360Learning tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query 360Learning, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what 360Learning tools were called, what data was returned, and how it influenced the final answer
360Learning + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the 360Learning MCP Server delivers measurable value.
Hybrid search: combine 360Learning real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query 360Learning 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 360Learning for fresh data
Analytical workflows: chain 360Learning queries with LlamaIndex's data connectors to build multi-source analytical reports
360Learning MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect 360Learning to LlamaIndex via MCP:
create_user
Requires the email, first name, and last name of the user. Register a new learner, author, or administrator account
get_course
Get technical details and the lesson overview for a specific course
get_stats
You must filter by either Group ID, User ID, or Course ID. Retrieve training completion rates and assessment scores
list_courses
Use this to find a specific Course ID to check enrollments or detailed lessons. Browse the catalog of available training courses
list_groups
Useful for finding a specific Group ID for reporting strategies. List all training groups, departments, or cohorts in the platform
list_users
Use this to find specific learner profiles. List all active learners and administrators in the 360Learning platform
Example Prompts for 360Learning in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with 360Learning immediately.
"List all active users in my 360Learning platform."
"Show me the training statistics for the 'Marketing' group."
"List all available courses in the catalog."
Troubleshooting 360Learning MCP Server with LlamaIndex
Common issues when connecting 360Learning to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcp360Learning + LlamaIndex FAQ
Common questions about integrating 360Learning 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 360Learning 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 360Learning to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.