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

← @stocksavvyshay

$AMZN

BULLISH2026-10-23

Price around the call

↑ 2026-10-23

By horizonMaturing · ~21 trading days to go

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21d

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Original post

Shay Boloor · 2026-10-23

$AMZN CEO says AI inference is still “an order of magnitude too expensive” for widespread adoption and believes Amazon’s Trainium chips could help bring costs down. And even at today’s prices AWS has already sold out its major capacity commitments for 2026 with most of 2027 and a good chunk of 2028 booked so imagine how much more demand cheaper inference could unlock.

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