io.github.nirajagarwal/stox-mcp
io.github.nirajagarwal/stox-mcpPercentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.
Score: 100/100
Handshake verified by our own probe.
Tools · 6
The 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, Pressure (money flow) — plus the composite…
The 16 percentile scores + P3 + 1Y price change for 2-5 tickers as one compact matrix (rows = metrics, columns = tickers). Use when weighing names against each other; percentiles make the comparison f…
The stock's TRUE competitive cluster — LLM-curated from segment overlap (who it actually competes with for revenue), not GICS classification. Costco's peers are WMT/TGT/KR, not 'Discount Stores'. Each…
The statistical theme a stock actually trades with: clusters built from years of price co-movement (market-removed residuals → random-matrix cleaning → Ward linkage), not sector labels. Returns the cl…
Screen 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 validated P3 composite or by any single metric. …
Where 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 as predicting forward risk — blended com…
How to use
Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://mcp.stox.market/mcp
Cursor or Cline: add to your MCP config:
{
"mcpServers": {
"io.github.nirajagarwal/stox-mcp": {
"url": "https://mcp.stox.market/mcp",
"transport": "streamable-http"
}
}
}