What tokens does Rugcheck Ai screen?
It screens any SPL or Token-2022 token on Solana.
@MrWizardlyLoaf
基本信息
On-chain Solana token safety for AI trading agents — rug-pull & honeypot check, mint/freeze authority & Token-2022 trap detection before you buy, then a screened Jito-tipped (MEV-resistant) swap route.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"rugcheck-ai": {
"url": "https://web-production-58d585.up.railway.app/mcp"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,直接连接服务器端点实时获取工具列表。
Rugcheck Ai provides on-chain token safety screening and safe execution for Solana AI trading agents. It analyzes SPL/Token-2022 tokens for rug pulls and honeypots before purchase, then generates a screened Jito-tipped Jupiter swap as an unsigned transaction.
Integrate Rugcheck Ai as an MCP server by connecting your MCP client to the remote endpoint https://web-production-58d585.up.railway.app. Agents can then query whether a Solana token is safe to buy or is a rug pull before executing a trade.
It screens any SPL or Token-2022 token on Solana.
It both screens tokens for rug pulls/honeypots and provides a screened Jito-tipped Jupiter swap as an unsigned transaction you sign.
Use a remote MCP client and point it to `https://web-production-58d585.up.railway.app`.
It is designed for autonomous trading agents that need to answer whether a Solana token
🚀 The fast, Pythonic way to build MCP servers and clients.

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
Painless E2E Automation for Mobile and Web
Hindsight: Agent Memory That Learns
评论