How do I get a Hubilo Access Token?

You can generate an Access Token in your Hubilo Dashboard under Integration Settings. You may need to contact your account manager if the option is not visible.

Can I see attendee lists?

Yes, the list_attendees tool provides the full list of registered users for a specific event.

Is booth analytics supported?

Yes, you can retrieve booth performance and analytics using the get_booth_analytics tool.

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

Name: Hubilo
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Hubilo through Vinkius, pass the Edge URL in the `mcps` parameter and every Hubilo tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Hubilo Specialist",
    goal="Help users interact with Hubilo effectively",
    backstory=(
        "You are an expert at leveraging Hubilo tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Hubilo "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Hubilo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Hubilo tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

The Hubilo MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Hubilo

Why Use CrewAI with the Hubilo MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Hubilo through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Hubilo + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Hubilo for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Hubilo, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Hubilo tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Hubilo against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Hubilo MCP Tools for CrewAI (10)

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

get_booth_analytics

Retrieves analytics data for exhibitor booths

get_event_details

Retrieves details for a specific event

get_organizer_profile

Gets details about the event organizer

list_attendees

Lists attendees registered for an event

list_booth_categories

Lists exhibitor booth categories for an event

list_events

Lists virtual and hybrid events

list_orders

Lists ticket orders for an event

list_sessions

Lists agenda sessions for an event

list_speakers

Lists speakers for an event

list_tickets

Lists tickets for an event

Example Prompts for Hubilo in CrewAI

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

"List all my upcoming events in Hubilo."

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

"Check the agenda sessions for my virtual summit."

Troubleshooting Hubilo MCP Server with CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Hubilo + CrewAI FAQ

Common questions about integrating Hubilo MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.