RugCheck AI: On-chain Token Safety for Solana AI Trading Agents

A developer built RugCheck AI, an MCP server that screens Solana SPL and Token-2022 tokens for rug pulls, honeypots, and dangerous authorities before executing MEV-protected swaps. The tool, listed on the official MCP Registry, provides on-chain safety audits and autonomous trading agents can use it to avoid scams like live mint or freeze authorities.

If you're building autonomous trading agents on Solana, you've hit this problem: your agent needs to vet a token before it buys — but most agents trade blind. They have no idea whether a token is a rug pull, a honeypot, or has an active mint authority that can dilute holders to zero. I built RugCheck AI to fix this: an MCP server that screens any SPL / Token-2022 token for the common scam patterns, then executes the swap through an MEV-protected route — screening and execution in one place. verify token safety — full on-chain safety audit check authorities — mint / freeze / Token-2022 trap detection simulate sell — honeypot check execute safe swap — MEV-protected executionRugCheck AI is listed on the official MCP Registry https://registry.modelcontextprotocol.io as io.github.MrWizardlyLoaf/rugcheck-ai . Remote endpoint, no install: https://web-production-58d585.up.railway.app/mcp Or self-host — it's open source MIT on GitHub: https://github.com/MrWizardlyLoaf/rugcheck-ai https://github.com/MrWizardlyLoaf/rugcheck-ai A rug pull on Solana often looks fine at the moment of purchase — liquidity is there, the chart is green. The trap is in the authority : a live mint authority lets the deployer print unlimited supply after you buy; a freeze authority can lock your tokens so you can never sell. An autonomous agent that doesn't read these on-chain fields walks straight into it. RugCheck AI reads them directly and gives a verdict on a fresh launch instead of unknown . Built for Solana trading agents. Feedback welcome.