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

> Source: <https://dev.to/mrwizardlyloaf/rugcheck-ai-on-chain-token-safety-for-solana-ai-trading-agents-31db>
> Published: 2026-06-13 03:36:05+00:00

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.