io.github.nirajagarwal/stox-mcp
Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.
Open source Repository Open in the app JSON README (API)
About
Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- nirajagarwal
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 0.2.2
- Last push
- 2026-08-30T03:23:42Z
- Repository state
- ativo
- Added
- 2026-08-29 22:00:12
- Updated
- 2026-08-30 04:00:12
- Origin id
io.github.nirajagarwal/stox-mcp
README
# stox-mcp **Give your AI the numbers that matter.** An MCP server over the [stox.market](https://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](https://stox.market/mcp) ```bash 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](https://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](https://stox.market).