# Texas Hold'em Poker

> Use this tool when you need to train AI agents in strategic decision making or test poker playing capabilities through a standardized interface. It solves problems related to game tree analysis, probability assessment, and adaptive strategy development by providing a realistic poker game environment. The server accepts inputs like betting actions and table joins, and outputs real-time game state updates, making it ideal for AI agents that require dynamic decision-making capabilities.

Canonical page: https://skillsregistry.net/skills/freshlife001-poker  
JSON: https://api.skillsregistry.net/v1/skills/freshlife001-poker

## Description

Texas Hold'em poker game server that enables AI agents to play poker through a standardized interface. Built with Node.js and TypeScript, it implements core poker game mechanics including betting rounds, hand evaluation, and multi-player table management. The server exposes tools for joining tables, placing bets, performing poker actions like check/fold/raise, and receiving real-time game state updates, making it valuable for training AI agents in strategic decision making and testing poker playing capabilities.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/freshlife001-poker)
- **Repository:** <https://github.com/freshlife001/mcp_poker>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "freshlife001-poker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/freshlife001-poker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/freshlife001-poker/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt