How to Use the Hubilo MCP in LlamaIndex

Q: Can I query Hubilo orders through LlamaIndex?

Yes, by calling listorders through your tool spec. The output is formatted for easy indexing into your vector store.

Index your Hubilo event data into LlamaIndex to query live registration and analytics with semantic search.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Hubilo MCP to LlamaIndex

Create your Vinkius account to connect Hubilo 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.

GDPR Free for Subscribers

Setup Hubilo with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build a searchable Hubilo knowledge base

Use `list_events` and `get_event_details` to populate a vector store that your LlamaIndex application can query. Instead of static files, you get a live index of your event portfolio. This approach lets you ask questions about past sessions or speaker history. The agent retrieves the relevant API data, turning opaque records into a searchable knowledge set.

Index attendee records in LlamaIndex

Map the results from `list_attendees` directly into your index to enable semantic search across your registration database. You stop guessing where specific attendee information is buried. You define the ingestion pipeline, and the MCP Server feeds the data. It makes your LlamaIndex agent significantly better at answering complex queries about event participation.

Ground booth insights in actual data

Direct your agent to index `get_booth_analytics` results so your RAG pipeline stays current. You avoid the traps of hallucination by forcing the agent to reference fresh API output. This method allows for deep analysis of booth performance over time. Your agent queries the index, and the system pulls the most recent metrics directly from the source.

Setup guide

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

Get your connection token →

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Hubilo now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hubilo MCP in LlamaIndex

Use the MCP tool spec to fetch the tool list and integrate them into your LlamaIndex agent. The data becomes searchable once ingested.

It refreshes when your agent executes the tools. You control the frequency of data collection to keep your index current.

Yes, by calling `list_orders` through your tool spec. The output is formatted for easy indexing into your vector store.

You manage the execution flow within your agent. If you hit a limit, the tools return a standard response you can handle with backoff logic.

Data access is restricted to the specific session authorized by your token. We treat your attendee registration lists as transient inputs that are never persisted globally.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript