Stox MCP

Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "stox-mcp": {
      "url": "https://stox.market"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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

Terminal

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.

Read the full README →View source on GitHub →

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Frequently Asked Questions about Stox MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "stox-mcp": { "command": "npx", "args": ["-y", "stox-mcp"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

36Quality signal: Fair · 36/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

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Documentation & tools16/30

Adoption & activity1/15

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