Rug-Check-MCP is an MCP server project used to detect potential risks of Solana meme tokens, helping AI agents avoid rug pull scams and unsafe projects. It retrieves token data through the Solsniffer API and provides structured analysis results, including the name, symbol, risk score, market capitalization, price, supply, risk details, and audit status.

The Behavioural Prediction MCP Server provides AI-driven blockchain wallet behavior prediction, fraud detection, and exit scam prediction tools to help protect the security of DeFi users and evaluate the credibility of wallets and contracts.

The behavior prediction MCP server provides AI-driven tools for analyzing wallet behavior prediction, fraud detection, and rug pull scam prediction, helping to protect DeFi users and monitor liquidity risks.