How to Use the Venue MCP in CrewAI

Q: How does CrewAI assist with listing events using Venue?

The 'Event Planner' agent uses the listevents tool. Since it runs in a crew, it can automatically check multiple time slots and report back on all available options based on your parameters.

Q: What happens when I create event details using Venue and CrewAI?

A specialized 'Detail Agent' handles this. It uses geteventdetails to pull data, then passes that structured information to the shared memory for other agents (like the analytics agent) to consume.

Automate Venue Operations with Autonomous Teams using CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Venue MCP to CrewAI

Create your Vinkius account to connect Venue to CrewAI 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 Venue with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous Event Creation and Scheduling

Assign an 'Event Planner' role to manage bookings. This agent uses `list_events` to see what's already scheduled, then decides when and how to call `create_event`. It executes the full planning cycle without human input. A second 'Coordinator' agent can then use `get_event_details` to pull specific venue requirements needed for the new booking.

Speaker Registration and Management Pipeline

You can give an 'Onboarding Agent' the task of managing talent. This agent uses `list_speakers` to check the current roster, then calls `create_speaker` when a new person needs to be added. The system maintains shared memory, so the next agent knows exactly who was just registered and can use that name in further actions.

Post-Event Review and Reporting

Set up an 'Analyst Agent' whose sole job is to review performance. It first pulls all metadata using `list_recordings` and then uses `get_event_analytics` to quantify the event's success. The autonomous crew handles this sequence: retrieve recordings, analyze engagement, and compile a final report.

Setup guide

Set up Venue MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Venue tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Venue Analyst",
    goal="Access and analyze Venue data via MCP.",
    backstory="Expert analyst with direct Venue access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Venue transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Venue Analyst",
        goal="Access and analyze Venue data via MCP.",
        backstory="Expert analyst with direct Venue access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Venue transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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 Venue. 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 Venue 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 Venue MCP in CrewAI

The 'Event Planner' agent uses the `list_events` tool. Since it runs in a crew, it can automatically check multiple time slots and report back on all available options based on your parameters.

A specialized 'Detail Agent' handles this. It uses `get_event_details` to pull data, then passes that structured information to the shared memory for other agents (like the analytics agent) to consume.

Yes. The 'Speaker Manager' runs a sequence: first, it calls `list_speakers`. Next, if needed, it uses `get_me` to check the account owner's role before proceeding.

Absolutely. You can design a workflow where one agent pulls attendee records via `list_event_registrations`, and another uses `list_sessions` to cross-reference who attended which specific session.

This server touches analytics data, recordings metadata, and attendee lists. The autonomous agents must be configured with strict access controls to protect this information.

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