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

← @rihardjarc

$META

BULLISH2026-10-02

Price around the call

↑ 2026-10-02

By horizonMaturing · ~6 trading days to go

✗ -1.0%

…

21d

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Original post

Rihard Jarc · 2026-10-02

What a lot of folks don’t understand is that the more users $META Muse is getting at the scale it is already (+5M downloads) the more feedback it is gathering to improve the product the bigger the moat is. The first mover advantage could be significant here, since coding (making the product better, fixing bugs) is actually something which AI can solve in a loop much faster than what we had in the pre-AI era of apps (feedback->fix/improve->repeat can now be a matter of minutes and used to be months).

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