# mcp-omnifun

> Use this tool when you need to trade memecoins across multiple blockchain chains and earn rewards in USDC. The mcp-omnifun tool solves problems related to memecoin trading, token discovery, and liquidity provision, offering a suite of 8 tools for AI agents to optimize trading strategies. It provides inputs such as token data and market quotes, and outputs trading simulations and rewards, making it ideal for use cases involving cross-chain memecoin trading and decentralized finance (DeFi) applications.

Canonical page: https://skillsregistry.net/skills/0xzcov-omni-fun-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/0xzcov-omni-fun-mcp-server

## Description

Trade memecoins across 8 chains and earn USDC. 8 tools for AI agents: trending tokens, search, quotes, bonding curves, trade simulation, graduating tokens, chain info. $69 bounties per graduation, 0.5% creator fee forever, 50% Uniswap V3 LP fees — from a single LP.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fgqz46b74w)
- **Repository:** <https://github.com/0xzcov/omni-fun-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": "0xzcov-omni-fun-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xzcov-omni-fun-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xzcov-omni-fun-mcp-server/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