kukapay/rug-check-mcp

Overview

This tool is a Model Context Protocol (MCP) server written in Python. It detects potential risks in Solana meme tokens. Developers can integrate it into AI agent workflows to screen tokens for red flags.

Best for

Best for
Developers building AI agents or bots that need to assess risks of Solana meme tokens

Use cases

• Integrate token risk checks into a trading assistant or bot
• Automate due diligence on Solana meme tokens before engagement
• Add a risk-analysis step to an AI-driven research pipeline

How to use

Install

npx -y @smithery/cli install @kukapay/rug-check-mcp --client claude

Tools exposed

• analysis_token

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "rug-check-mcp": {\n      "command": "python",\n      "args": ["path/to/rug-check-mcp/main.py"],\n      "env": {\n        "SOLSNIFFER_API_KEY": "your_solsniffer_api_key_here"\n      }\n    }\n  }\n}

Notes

This tool is a Model Context Protocol (MCP) server written in Python. It detects potential risks in Solana meme tokens. Developers can integrate it into AI agent workflows to screen tokens for red flags.

19 stars on GitHub. Last updated 2025-05-06. Licensed MIT.

Use cases

• Integrate token risk checks into a trading assistant or bot
• Automate due diligence on Solana meme tokens before engagement
• Add a risk-analysis step to an AI-driven research pipeline

Pros

• Open source and Python-based, easy to customize
• Specifically targets the high-risk Solana meme token space
• Follows the MCP standard, enabling integration with MCP-compatible clients

Cons

• Limited to Solana meme tokens, not general token analysis
• Low GitHub star count indicates limited community adoption
• Requires an MCP-compatible runtime or client to use

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.