How to Use the Deck of Cards MCP in LlamaIndex

Q: How does LlamaIndex index data from the Deck of Cards MCP server?

The agent calls tools like listpile or drawcards and converts the JSON responses into Document objects. These documents are then ingested into your vector index for semantic querying.

Q: How do I filter which cards are indexed?

You use createpartialdeck to limit the active card pool. This keeps your LlamaIndex vector store clean, as it only indexes the specific cards you care about.

Index card states and game history into LlamaIndex to query past hands and deck configurations with semantic search.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Deck of Cards MCP to LlamaIndex

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index virtual deck states directly into LlamaIndex

The `create_new_deck` tool instantiates a new deck that your LlamaIndex agent can immediately query. The agent indexes the resulting deck ID and initial card order into your local vector store. When your agent calls `draw_cards`, it updates the index with the remaining deck count. This ensures your RAG pipelines always query accurate, real-time card data instead of guessing.

Query custom card piles using this MCP Server

The `list_pile` tool lists every card currently held in a specific pile. This MCP Server feeds that list directly into LlamaIndex as a document node for semantic retrieval. Your agent uses `add_to_pile` to organize discarded cards. It then queries the vector index to analyze which cards are left in the main deck.

Search historical shuffles and card draws

The `reshuffle_deck` tool resets and randomizes your active deck. LlamaIndex logs this event, keeping a searchable timeline of every shuffle action. If the agent needs to verify past moves, it searches the indexed history of `draw_from_pile_random` calls. This gives you a complete, queryable audit trail of the game.

Setup guide

Set up Deck of Cards MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Deck of Cards MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Deck of Cards tools.",
)
response = await agent.run("List recent Deck of Cards data")

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Deck of Cards 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 Deck of Cards MCP in LlamaIndex

The agent calls tools like `list_pile` or `draw_cards` and converts the JSON responses into Document objects. These documents are then ingested into your vector index for semantic querying.

Yes, you can store every draw and shuffle event as a node in your index. Your LlamaIndex agent then searches this history to answer questions about past hands.

Yes, it provides the live data source for your RAG pipeline. The agent pulls active deck states via `draw_from_pile` and uses that data to ground its answers.

You use `create_partial_deck` to limit the active card pool. This keeps your LlamaIndex vector store clean, as it only indexes the specific cards you care about.

Your vector store only indexes deck IDs, card codes, and pile names retrieved from the API. This metadata is stored locally on your machine, ensuring no sensitive game telemetry is exposed.

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