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io.github.csacanam/lotero

Official

by csacanam · TypeScript

Provably fair on-chain slot machine for AI agents: x402 spins on Base, Chainlink VRF results.

io.github.csacanam/lotero — MCP Server Model Context

This MCP server exposes a provably fair, on-chain slot machine for AI agents. It implements Chainlink VRF 2.5 randomness for “x402” spins on Base, where clients pay in USDC. The system is described as gasless execution for autonomous agents and users.

🛠️ Key Features

  • Provably fair slot machine using Chainlink VRF 2.5
  • On-chain randomness for reel outcomes
  • Bet in USDC via x402 spins on Base
  • RTP model cited as ~93%
  • Max win stated as 30× (bet 1 USDC, win up to 30 USDC)

🚀 Use Cases

  • Autonomous AI agents placing USDC bets and receiving prize outcomes
  • On-chain slot gameplay with verifiable randomness

⚡ Developer Benefits

  • Deterministic provable fairness via Chainlink VRF 2.5
  • Published RTP model reference: DOCS/RTP_MODEL.md
  • Transparent payout structure and symbol multipliers

⚠️ Limitations

  • No tool count or specific MCP tooling interface details provided in the source data
  • Referral behavior is only partially shown (“1% commission on referre” is truncated)