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Hubilo MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hubilo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
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 Hubilo. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Hubilo?"
    )
    print(response)

asyncio.run(main())
Hubilo
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Hubilo MCP Server

Empower your AI agents to manage your virtual event strategy with Hubilo. This MCP server provides access to the Hubilo API to list events, manage attendees, track orders, view agenda sessions, and analyze booth performance. Perfect for event organizers and marketing teams.

LlamaIndex agents combine Hubilo 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 Hubilo 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 Hubilo to LlamaIndex via MCP

Follow these steps to integrate the Hubilo MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Hubilo

Why Use LlamaIndex with the Hubilo MCP Server

LlamaIndex provides unique advantages when paired with Hubilo through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Hubilo tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Hubilo tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Hubilo, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Hubilo tools were called, what data was returned, and how it influenced the final answer

Hubilo + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Hubilo MCP Server delivers measurable value.

01

Hybrid search: combine Hubilo real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Hubilo to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Hubilo for fresh data

04

Analytical workflows: chain Hubilo queries with LlamaIndex's data connectors to build multi-source analytical reports

Hubilo MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Hubilo to LlamaIndex via MCP:

01

get_booth_analytics

Retrieves analytics data for exhibitor booths

02

get_event_details

Retrieves details for a specific event

03

get_organizer_profile

Gets details about the event organizer

04

list_attendees

Lists attendees registered for an event

05

list_booth_categories

Lists exhibitor booth categories for an event

06

list_events

Lists virtual and hybrid events

07

list_orders

Lists ticket orders for an event

08

list_sessions

Lists agenda sessions for an event

09

list_speakers

Lists speakers for an event

10

list_tickets

Lists tickets for an event

Example Prompts for Hubilo in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Hubilo immediately.

01

"List all my upcoming events in Hubilo."

02

"Show me the list of attendees for event ID 456."

03

"Check the agenda sessions for my virtual summit."

Troubleshooting Hubilo MCP Server with LlamaIndex

Common issues when connecting Hubilo to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Hubilo + LlamaIndex FAQ

Common questions about integrating Hubilo MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Hubilo tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Hubilo to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.