# KaiaFun

> Use this tool when you need to automate interactions with the KaiaFun memecoin platform, such as listing, buying, and selling tokens, or retrieving token information. It provides a programmable interface for AI assistants to manage wallets, handle transactions, and store metadata on the Kaia blockchain. Ideal for automating memecoin trading operations or building AI-powered interfaces for the KaiaFun ecosystem.

Canonical page: https://skillsregistry.net/skills/kaiafun  
JSON: https://api.skillsregistry.net/v1/skills/kaiafun

## Description

KaiaFun MCP Server enables AI assistants to interact with the KaiaFun memecoin platform on the Kaia blockchain. It provides tools for listing new memecoins, buying and selling tokens, retrieving token information, and uploading images. The implementation uses the viem library for blockchain interactions and includes features for wallet management, transaction handling, and metadata storage. Ideal for users wanting to automate memecoin trading operations or create AI-powered interfaces for the KaiaFun ecosystem.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kaiafun)
- **Repository:** <https://github.com/weero-finance/kaiafun-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": "kaiafun"
    }
  }
}
```

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