How to Use the Corsizio MCP in CrewAI

Q: Can I filter which Corsizio tools my CrewAI team can use?

Yes, you can use MCPServerHTTP from crewai.mcp to apply a tool filter, restricting access to sensitive Corsizio operations like payout audits.

Deploy specialized CrewAI agent teams to manage Corsizio events, track ticket sales, and audit payout logs.

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Connect Corsizio MCP to CrewAI

Create your Vinkius account to connect Corsizio 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.

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Setup Corsizio with CrewAI

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Coordinate CrewAI agents with your Corsizio MCP Server

Assign one CrewAI agent to track ticket sales while another audits revenue by querying Corsizio's `list_events` and `list_attendees` tools. This split-role setup ensures your registration bookkeeping is handled autonomously. The CrewAI finance agent then matches those bookings against Corsizio's `list_payouts` using shared memory to flag discrepancies.

Run autonomous feedback loops with CrewAI and Corsizio

Set up a CrewAI feedback team where a researcher agent pulls raw reviews using Corsizio's `list_event_feedback` tool. This agent categorizes attendee sentiment for each class. A secondary CrewAI coordinator agent maps those reviews to specific classes from `get_event_details` and updates the instructor's profile.

Track administrative actions across Corsizio using CrewAI

Protect your ticketing system by deploying a CrewAI security agent to scan Corsizio's `list_activity_logs` MCP server tool. This agent looks for suspicious logins or unauthorized discount creations. If the CrewAI agent spots an anomaly, it escalates the Corsizio log details to a moderator agent for immediate review.

Setup guide

Set up Corsizio 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 Corsizio tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Corsizio 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="Corsizio Analyst",
        goal="Access and analyze Corsizio data via MCP.",
        backstory="Expert analyst with direct Corsizio access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Corsizio 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 Corsizio. 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.

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Common questions about Corsizio MCP in CrewAI

Pass your Vinkius MCP server URL directly into the CrewAI agent's `mcps` list parameter to grant access to Corsizio booking tools.

Yes, you can use `MCPServerHTTP` from `crewai.mcp` to apply a tool filter, restricting access to sensitive Corsizio operations like payout audits.

CrewAI agents rely on their shared memory system to pass Corsizio event details retrieved from `get_event_details` between different roles in the crew.

The Corsizio integration supports stdio, SSE, and Streamable HTTP, allowing your CrewAI agents to communicate reliably with Vinkius.

Vinkius processes all Corsizio attendee records in an isolated, ephemeral sandbox, keeping customer emails secure during CrewAI agent operations.

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