Deck of Cards MCP for AI. Run any card game simulation with natural language.
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Deck of Cards starts your simulation instantly. This MCP lets you build, run, and manage complex card games—from basic poker hands to full Monte Carlo probability experiments—all through natural conversation with your AI agent.
You control the entire game state: shuffle decks, draw specific cards, organize piles, and track remaining counts without writing a single line of setup code.
What your AI can do
Add to pile
Adds specified cards to a named pile when instructed by your agent.
Create new deck
Initializes a brand new, fully shuffled deck of standard playing cards.
Create partial deck
Builds a custom deck containing only the specific card types you name (e.g., all Aces and Kings).
Instantly set up complex game environments by creating new standard or partial card decks, and organizing multiple named piles for players and discards.
Tell the AI exactly how to draw cards—from the top, bottom, random spot, or a specific player's hand.
Move cards between piles and decks using functions like returning used cards back into the main deck for reuse.
Get an accurate list of all cards in any named pile or know exactly how many cards are left in the primary deck.
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Deck of Cards API: 13 Tools
These tools allow you to perform every action needed for a card game simulation—from creating decks to drawing individual cards from specific piles.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Deck of Cards on VinkiusAdd To Pile
Adds specified cards to a named pile when instructed by your agent.
Create New Deck
Initializes a brand new, fully shuffled deck of standard playing cards.
Create Partial Deck
Builds a custom deck containing only the specific card types you name (e.g., all...
Draw Cards
Removes cards from the top of the main deck and places them in your designated hand...
Draw From Pile Bottom
Retrieves a card specifically from the bottom of a designated pile.
Draw From Pile Random
Selects and removes any random card found within a specific named pile.
Draw From Pile
Pulls a card from the center of an existing named pile, rather than the top.
List Pile
Displays every single card currently held or stored in a specified named pile.
Reshuffle Deck
Mixes an existing deck of cards to randomize the entire sequence of play.
Return Pile To Deck
Moves all cards from a named pile back into the primary, active card deck.
Return To Deck
Sends specified individual cards or a small group of cards back to the main playing...
Shuffle New Deck
Creates and shuffles a brand new deck, with an option to use multiple decks for advanced simulations.
Shuffle Pile
Randomizes the order of cards only within one specific named pile.
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Claude AI
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Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
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Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 13 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Tracking card game inventory is a manual nightmare today.
Right now, if you're building a prototype or running a simulation, you have to manually track every single card. You use spreadsheets just for counting, and when the rules get complex—like dealing from separate player hands or moving discards back into play—the sheet falls apart. It’s painstaking copy-pasting and constant cross-referencing.
With this MCP, your agent handles the entire inventory count. Instead of tracking numbers, you just tell it what to do: 'Draw five cards.' The system updates the main deck count and puts those five specific cards into a named pile—all automatically.
The Deck of Cards MCP gives you complete control over every draw.
You don't have to settle for just drawing from the top. Need to simulate an opponent stealing a card, or maybe checking the bottom discard pile? Tools like `draw_from_pile` or `draw_from_pile_bottom` let you specify exactly where the action takes place.
This means your simulation fidelity is high, regardless of how complex the game rules are. You finally have the precise control needed for advanced gaming logic.
What your AI can actually do with this
Running card simulations used to mean complex backend logic or tedious manual randomization. Now, you can build playable games directly within your workflow using this MCP. Your AI agent acts as the dealer and game engine, managing every single state change for you. You tell it what to do—like 'deal a hand of five cards'—and it handles everything from creating the deck to tracking which cards are left in the main stack.
This capability is crucial for anything involving probability or pure chance. Since Vinkius hosts this MCP, connecting it to your agent means you get immediate access to advanced game logic that was once restricted to specialized applications, letting you focus purely on the outcome of the simulation.
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Here's how it actually works
The bottom line is you use natural conversation to control sophisticated game mechanics that would otherwise require a dedicated backend application.
First, initialize your session by telling your agent to create a new deck, or provide an existing Deck ID for continuity.
Next, give specific commands—for instance, 'Draw 5 cards and put them in the player hand'—and let your agent execute the necessary draws and pile movements.
Finally, review the results; the system reports the card draw details and the updated count of cards remaining in the main deck.
Who is this actually for?
Game developers, data scientists running simulations, and educators who need complex state management without writing code. If your work involves randomness or probability, this MCP solves the manual setup headache.
Rapidly prototype card game logic—like a multi-deck Blackjack variant—by calling functions like create_partial_deck instead of building state machines.
Run Monte Carlo simulations to test probability distributions by repeatedly drawing cards and tracking outcomes using the agent.
Demonstrate statistics concepts, like variance or expected value, by having the AI draw card sequences and list the results in real-time.
What Changes When You Connect
Stop writing boilerplate state management code. You can initialize the entire environment, whether you need a single deck or multiple decks for complex casino simulations, using create_new_deck or shuffle_new_deck.
The agent handles all draw mechanics, so you never manually track inventory. Need five cards? Simply ask your agent to use draw_cards, and it accounts for the reduction in the main deck count immediately.
You gain granular control over card movement. Instead of just drawing from the top, tools like draw_from_pile or draw_from_pile_bottom let you simulate specific gameplay rules (e.g., a 'skip' draw).
Keep track of everything without juggling multiple spreadsheets. If players discard cards into named piles, use list_pile to see exactly what they left behind.
Need to adjust the game flow? Use return_to_deck or return_pile_to_deck to send used cards back into play, keeping the simulation accurate for continuous gameplay.
See it in action
Simulating Blackjack payouts
A developer asks their agent to set up six standard decks using shuffle_new_deck. The agent initializes the environment. Then, it draws 5 cards and adds them to a 'player hand' pile. Finally, it uses list_pile to confirm the exact five cards drawn for payout calculation.
Teaching probability of suits
An educator asks the agent to create a partial deck containing only Hearts and Spades using create_partial_deck. They then instruct the agent to draw 10 random cards using draw_cards so the student can calculate the ratio manually.
Modeling multi-player card games
A game designer needs three distinct player hands. The agent first creates these named piles, then uses add_to_pile repeatedly to simulate dealing cards one by one, maintaining perfect state tracking across all three locations.
Testing card recycling mechanics
The simulation ends with a 'discard' pile. To run the next round, the agent uses return_pile_to_deck to move all discards back into the main deck before running another draw sequence.
The honest tradeoffs
Over-relying on 'general' drawing
Asking the agent, 'Just take some cards.' This leaves the game state ambiguous because the AI doesn't know if you mean the top of the pile or a random card.
Be specific. If you want the bottom card, say: 'Use draw_from_pile_bottom on the player hand.' For random draws, use draw_from_pile_random.
Assuming single-use decks
Running a long game and forgetting to reset the cards. The agent will eventually run out of physical cards in the main deck.
If you need to reuse cards, use return_pile_to_deck after the round is over. If the whole deck needs mixing, always call reshuffle_deck.
Ignoring pile separation
Treating all used cards as one lump sum when they belong to different players or stages of play.
Create a named pile for every distinct group (e.g., 'Player 1 Hand', 'Discard Pile'). Then, use list_pile on that specific name to verify contents.
When It Fits, When It Doesn't
Use this MCP if your core logic revolves around probability, chance, or structured card play. You need the agent to manage state changes: drawing cards and updating counts is the minimum requirement. Don't use it if you are just managing static data like user profiles or product inventories; those systems require different tools. If all you need is a simple random number generator, that’s easier—don't bother with this MCP. But if you need to simulate 'What happens if I draw the Queen of Spades next?' then you need draw_cards and robust state tracking. Always remember that these 13 tools provide granular control; use them precisely for what they do.
Questions you might have
How do I start a multi-deck simulation using shuffle_new_deck? +
Use shuffle_new_deck and specify the number of decks required, like six. The agent will initialize all those decks, give you a total card count, and ready the environment for your first round.
Can I simulate drawing only specific cards? (create_partial_deck) +
Yes. Use create_partial_deck to generate a deck containing just what you need—say, all Queens and Jacks—and then proceed with normal draw mechanics on that custom set.
What's the difference between return_to_deck and return_pile_to_deck? +
Use return_to_deck when sending a small, specific selection of cards back to play. Use return_pile_to_deck when you need to send every single card from an entire named pile.
How do I check what's in the discard pile? (list_pile) +
You call list_pile and specify 'discard'. The agent will immediately list out every card name and value currently stored in that named location.
Does draw_cards affect the main deck count? +
Yes, absolutely. Every time you use draw_cards, the MCP tracks it and updates the remaining count of cards in the primary deck for accurate state management.
What’s the difference between running `reshuffle_deck` and using `shuffle_pile`? +
Reshuffle_deck mixes all cards in the main deck, resetting their order. Conversely, shuffle_pile only randomizes the card sequence within a specific pile you name.
What happens if I try to use `draw_from_pile` when the target pile is empty? +
The system handles this gracefully. Instead of returning an error, it reports that the specified pile has no cards remaining for drawing, stopping the process immediately.
How does using `add_to_pile` affect the main deck count or state? +
It doesn't change the main deck count. You manually place cards into a named pile, bypassing the natural draw mechanics entirely and keeping them out of the active deck.
Can I create a deck that includes Jokers for games like Rummy? +
Yes! Use the create_new_deck tool and set the jokers_enabled parameter to true. This will add two Jokers to your standard 52-card deck.
Is it possible to draw cards from the bottom of a pile instead of the top? +
Absolutely. Use the draw_from_pile_bottom tool by specifying the deck_id and pile_name. You can also use draw_from_pile_random if you need a random card from the middle of a pile.
How do I simulate a casino game that uses 6 shuffled decks? +
Use the shuffle_new_deck tool and set the deck_count parameter to 6. This will return a single deck_id containing 312 cards (52 * 6) in a randomized order.
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