MCP serverio.github.nirajagarwal/stox-mcp
Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.
Overview
Score?
UNRATED 0.707
of what a free look can see, on 30 looks
Looks
35
last 17 hr ago
Tools
6
More info
URL
mcp.stox.market/mcp
streamable-http
Says it is
stox 0.2.2
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.707 · highest on record 0.8561
Toolsfrom sha256:6ba90da268…8063bd
| Tool | Schema |
|---|---|
| compare 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 m |
input · no output |
| fingerprint 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) |
input · no output |
| market_regime 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 forwar |
input · no output |
| peers 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 'Di |
input · no output |
| screen 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 |
input · no output |
| theme_cluster 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 la |
input · no output |
Verify it yourself
npx teppi-check https://mcp.stox.market/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2JMVTBMBMTR56T9QHKEQ