AI + live data · analyst records & stock signals

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Connect your AI client via MCP

Endpoint (paste into an MCP client — anonymous, free, no key)

https://mcp.koalcheck.com/mcp

Or copy this and send it to your AI to set it up:

Add the "koalcheck" MCP server to my client and connect. It is a remote Streamable-HTTP server at https://mcp.koalcheck.com/mcp — connect anonymously, no API key or login needed (the free tools work right away). If my client supports a remote/HTTP MCP server directly, just use that URL. If my client config only accepts a local command (e.g. Claude Desktop's mcpServers, which rejects a bare "url"), bridge it with command "npx" and args ["-y","mcp-remote","https://mcp.koalcheck.com/mcp"]. Then tell me to fully restart the client, and list the koalcheck tools you can call. It provides US-equity research tools built on an analyst track-record engine (who has actually been right, priced vs SPY, cross-checked with SEC & FINRA).

Capabilities User guide

$MU

BULLISH2026-04-28

Price around the call

↑ 2026-04-28

By horizon✓ hit+81.0%

1d

✗ -1.2%

5d

✓ +25.4%

21d

✓ +81.0%

Original post

美股投资网 · 2026-04-28

人工智能下一个瓶颈在哪里？根据美股投资网调研，人工智能AI将会是存储和成本。谷歌云CEO Thomas Kurian表示，随着智能体应用爆发，AI基础设施正从算力竞争转向系统级优化，包括超高速存储、低延迟推理和新型网络架构。但是，AI真正的挑战，将出现在面向消费者的虚拟机成本与本地存储效率上，如何降低成本、提升整体协同能力，将成为AI普及的关键。 AI场景在变，芯片也在变谷歌云CEO Thomas Kurian表示，AI正在从简单问答走向内容生成和智能体阶段，AI的任务越来越复杂、运行时间更长，这直接改变了算力需求。从KV缓存到推理成本，再到分布式部署，AI变了，芯片设计也随之被重塑。 $SNDK $MU $STX $WDC 存储4巨头 #AI #人工智能