Agent Cardroom
Enables users to play virtual-chip poker games like Texas Hold'em and Zha Jin Hua against bot opponents within Codex, with interactive UI or text commands.
README
Agent Cardroom
Agent Cardroom is a local Codex plugin for virtual-chip poker against 1–5 built-in bot opponents. It supports Texas Hold'em and Zha Jin Hua. It has no accounts, real-money play, or persistent game history.

Local installation
Clone the source checkout, then install the package for the current user with
the same python3 executable that the plugin mapping invokes:
git clone https://github.com/GZ-L/agent-cardroom.git
cd agent-cardroom
python3 -m pip install --user .
python3 -m agent_cardroom.mcp_stdio --help
The module check is intentionally after installation. Install the plugin from
this checkout in Codex using the repo-local marketplace manifest at
.agents/plugins/marketplace.json, or install the bundle at
plugins/agent-cardroom/. Both mappings run
python3 -m agent_cardroom.mcp_stdio, so they do not depend on a virtual
environment directory being on Codex's PATH.
For development and the full test suite, create an isolated environment:
python3 -m venv .venv
.venv/bin/python -m pip install -e ".[dev]"
Verification and local adapters
The following commands use this checkout's installed virtual environment. Run the HTTP command only when you want to serve the local adapter; it continues running until interrupted.
.venv/bin/python -m pytest tests/test_acceptance.py -v
.venv/bin/python -m pytest -v
.venv/bin/ruff check src tests
git diff --check
.venv/bin/agent-cardroom-http --host 127.0.0.1 --port 8000
These are the project's portable checks. Codex/plugin-directory manifest validation is performed in a Codex environment during the owner-operated publication process; it is not a GitHub-agnostic checkout command.
For a hosted adapter, sessions expire after 60 idle minutes. To remove local state, stop the adapter and start it again; games are not saved permanently.
Playing
Ask the plugin to start a game, for example:
Start a Texas Hold'em game with 3 bot opponents and 1,000 virtual chips.
In an Agent that supports MCP Apps UI, the plugin follows this opening call by showing an interactive table in the current conversation. Click the legal actions and the 25% / 33% / 75% / 133% / double quick-bet options directly; the table displays only virtual Token balances, the current pot, table stakes, and server-approved cards. It does not use a real wallet, deposits, or withdrawals.
If the UI is unavailable, act from the returned state in text:
Call in my Hold'em game.
Or start Zha Jin Hua:
Start a Zha Jin Hua game with 2 bot opponents and 500 virtual chips.
This project is for entertainment with virtual chips and virtual Tokens only. Do not use it for real-money gambling.
Public submission
Public-directory publication is a manual, identity-bound, owner-operated
process, separate from local installation. The authorized owner must create and
push a public repository, host a stable HTTPS MCP endpoint, complete domain
verification, and submit via the Codex directory portal. Tests do not upload
code, create GitHub repositories, alter DNS, or submit to the OpenAI portal.
The local .mcp.json mapping is only for GitHub-download installation; it is
not accepted as the public submission artifact.
See the submission checklist.
The source website, support tracker, privacy policy, and terms are hosted in
this repository: website,
support,
privacy, and terms.
For a public deployment, set MCP_ALLOWED_HOSTS to a comma-separated list of
your deployment hostnames. The Render service at
agent-cardroom.onrender.com is included as the initial deployment hostname;
add a custom domain before switching the public listing to it.
See Privacy, Terms, and MIT License.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.