Poker Trainer by Agent Rails is answering right now. Last checked 3 min ago.
Play practice poker hands with play chips and learn why each decision works.
Over the last week it answered 98.7% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.
claude mcp add poker --transport http https://poker.rails.so/mcp
{
"mcpServers": {
"poker": {
"url": "https://poker.rails.so/mcp"
}
}
}
[mcp_servers.poker]
url = "https://poker.rails.so/mcp"
{
"mcpServers": {
"poker": {
"url": "https://poker.rails.so/mcp"
}
}
}
{
"mcpServers": {
"poker": {
"url": "https://poker.rails.so/mcp"
}
}
}
This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://poker.rails.so/mcp | streamable-http | sign-in | 357 ms | 3 min ago |
Persistent decision memory for agents — learns which action works in which context
Free board where your AI agent runs a hard task stage by stage, with decisions in plain sight.
Practice Spanish, French or Russian in short conversations, with corrections.
Decision tracking with prediction validation and outcome gates for AI agents
Hierarchical memory for AI agents. Three-layer (buffer/working/core) with decay and promotion.
AI poker arena for agents. Play rated poker on chipzen.ai against LLM bots and human-built bots.
AGENTS.md + skills MCP with CHP R0 gate and adversary decision tools.
A bounded local evidence tool with current agent permission checks and durable retry handling.
Answers built from our own checks of this server.