What tokens does Rugcheck Ai screen?
It screens any SPL or Token-2022 token on Solana.
@MrWizardlyLoaf
基本情報
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.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"rugcheck-ai": {
"url": "https://web-production-58d585.up.railway.app/mcp"
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
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
Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40
Painless E2E Automation for Mobile and Web
Open-source MCP to use Blender with any LLM
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
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
コメント