How do I get Demio API credentials?

Log in to your Demio account, navigate to **Settings > API**, and you can retrieve your API Key and API Secret from that section.

Can the agent see attendance reports?

Yes, you can use the get_webinar_report tool to retrieve performance metrics and participation data for your webinar events.

Does the integration support user registration?

Yes, you can register new users for specific webinar sessions using the register_user_for_webinar action tool.

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

Name: Demio
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Demio Specialist",
    goal="Help users interact with Demio effectively",
    backstory=(
        "You are an expert at leveraging Demio 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 Demio "
        "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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* 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 Demio MCP Server

Integrate Demio, the modern webinar platform built for marketing, directly into your AI workflow. Manage your upcoming and past webinars, track registration lists, monitor live and scheduled sessions, and register new users using natural language.

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

What you can do

Webinar Oversight — List and retrieve detailed settings for all your webinars and check their current status.
Registrant Tracking — List and search through people who have registered for your webinar events.
Session Monitoring — Track scheduled sessions, access attendee lists, and monitor overall session progress.
User Registration — Register new users for specific webinar sessions directly via chat.

The Demio 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 Demio to CrewAI via MCP

Follow these steps to integrate the Demio 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 Demio

Why Use CrewAI with the Demio MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Demio 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

Demio + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Demio 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 Demio, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Demio 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 Demio against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Demio MCP Tools for CrewAI (10)

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

get_account_metadata

Retrieve metadata and limits for your Demio account

get_session_details

Get specific details for a webinar session, including attendees

get_webinar_details

Get detailed settings and information for a specific webinar

get_webinar_report

Retrieve performance metrics and attendance reports for a webinar

list_upcoming_webinars

Identify webinars scheduled for the future

list_webinar_events

List all upcoming and past webinars in your Demio account

list_webinar_registrants

List all people who have registered for a specific webinar

list_webinar_sessions

List all scheduled sessions for a specific webinar event

register_user_for_webinar

search_webinars_by_name

Search for a webinar using a name keyword

Example Prompts for Demio in CrewAI

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

"List all my upcoming webinars."

"Who is registered for the 'Product Demo' webinar?"

"Show me the report for my last webinar session."

Troubleshooting Demio MCP Server with CrewAI

Common issues when connecting Demio 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.

Demio + CrewAI FAQ

Common questions about integrating Demio 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.