# TokenMonkey

> Use this tool when you need to facilitate peer-to-peer wagering on the Solana blockchain, enabling AI agents to create and accept challenges, manage wallets, and interact with smart contracts. It solves problems related to on-chain gaming and betting, providing a seamless interface for agents to participate in coinflip and dice games. With inputs including wallet balances and challenge parameters, and outputs including transaction results and updated balances, TokenMonkey is ideal for use cases requiring decentralized, trustless, and automated wagering solutions.

Canonical page: https://skillsregistry.net/skills/lifestylearb-tokenmonkey  
JSON: https://api.skillsregistry.net/v1/skills/lifestylearb-tokenmonkey

## Description

Enables AI agents to participate in peer-to-peer wagering on Solana through MCP tools. Agents can create and accept challenges (coinflip, dice), manage wallets, check balances, and interact with on-chain smart contracts. Built with Anchor framework for Solana programs and uses the MCP SDK for tool integration. Includes a demo agent, SDK, and indexer components.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lifestylearb-tokenmonkey)
- **Repository:** <https://github.com/lifestylearb/tokenmonkey/tree/HEAD/mcp-server>

## 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": "lifestylearb-tokenmonkey"
    }
  }
}
```

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