io.github.nirajagarwal/stox-mcp
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Publisher-provided description
Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.
Summary by lookupd
Lets agents compare, screen and profile US stocks via percentile scores, curated peer clusters, and market-stress indicators.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http stox https://mcp.stox.market/mcp
Codex, remote (streamable-http)
codex mcp add stox --url https://mcp.stox.market/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"stox": {
"url": "https://mcp.stox.market/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (6 tools)
Publisher-provided text
fingerprintThe character of one stock in ~550 tokens: 16 percentile scores (vs the S&P 500 cohort) across four panels — Market Beat, Trend Persistence, Business Growth, PrcompareThe 16 percentile scores + P3 + 1Y price change for 2-5 tickers as one compact matrix (rows = metrics, columns = tickers). Use when weighing names against eachpeersThe stock's TRUE competitive cluster — LLM-curated from segment overlap (who it actually competes with for revenue), not GICS classification. Costco's peers aretheme_clusterThe statistical theme a stock actually trades with: clusters built from years of price co-movement (market-removed residuals → random-matrix cleaning → Ward linscreenScreen the S&P 500 + NDX universe on ANY of the 16 percentile scores, with minimum AND maximum bounds, optionally within one GICS sector, sorted by the validatemarket_regimeWhere market stress sits right now: the dashboard's 8-indicator stance, each indicator's traffic-light band, the VIX 5-year percentile (the ONE input validated
Details
- Version: 0.2.2
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 284 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/nirajagarwal/stox-mcp
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