MCP server
Stox
io.github.nirajagarwal/stox-mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.
Working at last checkAbout 1,276 tokens per request once connected6 tools
https://mcp.stox.market/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 6
- Token cost
- About 1,276 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http stox-mcp https://mcp.stox.market/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.stox-mcp] url = "https://mcp.stox.market/mcp"
Gemini CLI
{"mcpServers":{"stox-mcp":{"httpUrl":"https://mcp.stox.market/mcp"}}}
Cursor
{"mcpServers":{"stox-mcp":{"url":"https://mcp.stox.market/mcp"}}}
VS Code
{"servers":{"stox-mcp":{"type":"http","url":"https://mcp.stox.market/mcp"}}}
Antigravity
agy mcp add stox-mcp https://mcp.stox.market/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"stox-mcp","server_url":"https://mcp.stox.market/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"stox-mcp","server_url":"https://mcp.stox.market/mcp"}
Tools
compare~142 tokens
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 fair across sectors and sizes.fingerprint~215 tokens
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 P3 score (the validated 3-factor form), curated competitive peers (not GICS), a one-line charactermarket_regime~152 tokens
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 composites tested worse), and the S2 stress-confirmation badge (SPY below its 40-week average AND VIX apeers~133 tokens
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 peer carries its P3 score. Honest empty list for monopolies/private-rival cases.screen~476 tokens
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. Metric keys: marketBeat1Y/1M/1W/1D (price vs SPY), rankPersistence52W/26W/13W + trendPersistence (ratheme_cluster~158 tokens
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 cluster's name, description, cohesion, sector mix and up to 20 member tickers. Different question from
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