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

← @adamkhootrader

$NVDA

BULLISH2025-11-26

Price around the call

↑ 2025-11-26

By horizon✓ hit+5.1%

✓ +2.1%

✓ +2.7%

21d

✓ +5.1%

Original post

Adam Khoo · 2025-11-26

Alphabet ($GOOGL) versus Nvidia ($NVDA) . The Real Battle The Core Conflict is not Hardware vs. Hardware: The battle is not simply TPUs vs. GPUs. It is Software vs. Software: NVIDIA’s dominance comes from CUDA (the "operating system" of AI). Google is attempting to break the CUDA monopoly by forcing the industry to write code for a non-CUDA ecosystem for the first time in 15 years. Google is "opening the vault"—shipping TPUs to external datacenters, partnering with Meta, and building a second compute ecosystem. What TPUs Actually Are, • Vertical Integration: TPUs are not general-purpose; they are specialized "graph-execution machines" optimized for Google's software stack (JAX, Flax, XLA). • Efficiency vs. Flexibility: • TPUs (Robot Arms): Optimized for efficiency, massive batc

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