Server data from the Official MCP Registry
Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.
About
Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.
Remote endpoints: streamable-http: https://mcp.stox.market/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
6 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-nirajagarwal-stox-mcp": {
"url": "https://mcp.stox.market/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
stox-mcp
Give your AI the numbers that matter. An MCP server over the stox.market metric layer — context, not data: every finance feed hands a model raw bars and statements, and the model still can't answer "is this number good?". This server ships the judgment layer instead.
Live endpoint: https://mcp.stox.market/mcp (streamable HTTP) ·
Demo & docs: stox.market/mcp
claude mcp add --transport http stox https://mcp.stox.market/mcp
Tools
| tool | what it answers |
|---|---|
fingerprint | The character of one stock: 16 percentile scores vs the S&P 500 cohort across four panels (Market Beat, Trend Persistence, Business Growth, Pressure), the P3 composite, curated peers, a one-line read. ~550 tokens. |
compare | The 16-score matrix for 2–5 tickers, side by side. |
peers | TRUE competitive peers — curated from segment overlap, not GICS (Costco → WMT/TGT/KR, not "Discount Stores"). |
theme_cluster | Who a stock moves with: co-movement clusters from price behavior (market-removed residuals → random-matrix cleaning → Ward linkage). |
screen | Min/max bounds on any of the 16 metrics — momentum and fallen-leader queries in one call — optionally per sector, sorted by the P3 composite or any single metric. |
market_regime | Market-stress stance, per-indicator bands, the VIX 5-yr percentile (the one input validated as predicting forward risk), and the S2 stress-confirmation badge. |
Design
- Token economy — compact JSON, score + band + a one-line read; a fingerprint is ~550 tokens where a statements dump is 20,000.
- Percentiles, not raw numbers — every score is a cross-sectional rank against the real cohort (100 = best), so "is it good?" is answered by construction.
- Provenance — snapshot dates on scores, links back to the full picture.
- Informational only — descriptive statistics; never investment advice, no buy/sell recommendations. Derived metrics only; this is not a market-data feed.
The human-readable twin
The same metric layer renders as editorial leaderboards at
stox.market/lists — 31 boards plus sector
slices and frozen earnings-season editions, refreshed on automated weekly
lanes. A board is where a name catches your eye; fingerprint is how your
agent vets it in one call.
Universe: S&P 500 + NASDAQ-100 + curated ETFs. Coverage and metric definitions: stox.market.
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