How to Use the Deck of Cards MCP in CrewAI

Run autonomous multi-agent card simulations and game testing using CrewAI.

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Connect Deck of Cards MCP to CrewAI

Create your Vinkius account to connect Deck of Cards 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 Deck of Cards with CrewAI

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Multi-agent card game testing with CrewAI

The `draw_cards` tool enables your CrewAI dealer agent to distribute cards to other specialized player agents. One agent can manage the deck while another agent analyzes the drawn cards to calculate the best move. If a player agent decides to discard, it signals the dealer agent to call `add_to_pile`. This collaborative loop runs autonomously, allowing you to simulate thousands of game rounds without human input.

Autonomous pile monitoring using CrewAI teams

The `list_pile` tool allows a supervisor agent in CrewAI to monitor the state of all active card piles. If a pile exceeds a certain size, the supervisor instructs a dealer agent to trigger `return_pile_to_deck`. The dealer agent then executes `shuffle_pile` to reset the pile state. Because CrewAI agents share memory, they coordinate these actions based on the real-time state of the game.

Custom game setups via this MCP Server

The `create_partial_deck` tool lets your CrewAI setup agent prepare custom card layouts for specific simulations. You can define exact card lists to test edge cases in your game logic. Once the setup is complete, the agent calls `draw_from_pile_random` to distribute cards to the players. The entire setup and execution are handled by CrewAI's hierarchical process, ensuring orderly execution.

Setup guide

Set up Deck of Cards 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 Deck of Cards tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Deck of Cards 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 Deck of Cards API. 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 Deck of Cards MCP in CrewAI

CrewAI agents share memory and can access the same deck ID. A dealer agent can run `draw_cards` while a player agent uses `list_pile` to inspect their hand, keeping everyone in sync.

Yes, you can use CrewAI's tool filtering to assign specific tools to specific agents. For example, you can allow only the dealer agent to run `reshuffle_deck` while player agents can only run `draw_cards`.

You can assign roles to your agents, such as a Referee agent that calls `list_pile` to check for winning hands. The Referee coordinates with the Dealer agent to trigger `create_new_deck` when a game ends.

CrewAI connects to the Vinkius MCP host using the HTTP transport. This allows your agents to make quick, secure calls to manage deck states during simulations.

No, the MCP Server only processes deck IDs, card values, and pile names. No agent prompts, strategies, or proprietary game logic are ever stored or exposed during the simulation.

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