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Rug-Check-MCP

@kukapay

Rug-Check-MCP について

An MCP server that detects potential risks in Solana meme tokens.

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

kukapay

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "rug-check-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@kukapay/rug-check-mcp",
        "--client",
        "claude"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Rug-Check-MCP?

Rug-Check-MCP is an MCP server that detects potential risks in Solana meme tokens. It helps AI agents avoid rug pulls and unsafe projects by retrieving and analyzing token data from the Solsniffer API.

How to use Rug-Check-MCP?

Install via Smithery or manually. Configure your client with the analysis_token tool, which requires a Solana token address as input. Set the SOLSNIFFER_API_KEY environment variable with a key obtained from Solsniffer.

Key features of Rug-Check-MCP

  • Retrieves token data from the Solsniffer API.
  • Returns structured output with name, symbol, Snif score, market cap, price, supply, risks, and audit status.
  • Categorizes risks into high, moderate, and low with counts and descriptions.
  • Reports audit status: mint/freeze disabled, LP burned, top 10 holders.

Use cases of Rug-Check-MCP

  • Analyzing a Solana meme token for rug pull risks.
  • Checking a token’s Snif score and audit status before investing.
  • Assessing supply concentration and liquidity risks.
  • Automating token risk evaluation in AI‑powered trading assistants.

FAQ from Rug-Check-MCP

What does the analysis_token tool return?

It returns a dictionary with the token’s name, symbol, Snif score, market cap, price, total supply, detailed risk breakdowns, and audit flags.

How do I get a Solsniffer API key?

Sign up at Solsniffer to obtain an API key, then set it as the SOLSNIFFER_API_KEY environment variable.

What is the Snif score?

A numerical risk score from 0 to 100 provided by Solsniffer. Higher scores indicate lower risk.

What are the runtime requirements?

Python 3.10 or higher, plus the mcp[cli], requests, and python-dotenv packages.

Can I use this with any MCP client?

Yes, it is designed for MCP-compatible clients such as Claude Desktop. Configure the client’s mcpServers with the path to main.py and your API key.

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