# Vibecoins

> Use this tool when you need to interact with the Ethereum blockchain for cryptocurrency operations, such as creating and managing encrypted wallets, deploying tokens, and tracking trading fees. It provides a secure interface for browsing coin listings and managing ERC-20 tokens with automatic Uniswap v4 liquidity. Ideal for use cases requiring secure and efficient cryptocurrency management, with inputs including wallet credentials and token information, and outputs including transaction data and fee tracking.

Canonical page: https://skillsregistry.net/skills/surfer77-vibecoins  
JSON: https://api.skillsregistry.net/v1/skills/surfer77-vibecoins

## Description

Enables interaction with the Vibecoins platform for cryptocurrency operations on Ethereum. Provides tools for creating and managing encrypted Ethereum wallets, deploying ERC-20 tokens with automatic Uniswap v4 liquidity, browsing coin listings, and tracking perpetual 1% trading fees from launched tokens. Features secure local key storage with AES-256 encryption.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/surfer77-vibecoins)
- **Repository:** <https://github.com/surfer77/vibecoins-mcp>

## 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": "surfer77-vibecoins"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/surfer77-vibecoins` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/surfer77-vibecoins/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