# ai.marketcrew/market-data Live market data & technical analysis for US stocks, ETFs and crypto. Read-only, no signup. - **Type:** MCP server - **Trust:** 60/100 (B), scored on the content rubric - **Verification:** community-indexed — nobody has claimed this listing - **Version:** 1.0.0 - **Author:** ai.marketcrew - **License:** Unknown - **Endpoints:** streamable-http https://marketcrew.ai/mcp - **Source:** https://marketcrew.ai - **Endpoint health:** reachable (last checked 2026-09-24T12:12:50.053Z, 5 samples) — uptime is not a security property and is not part of the trust score - **Compatible clients:** claude-code, cursor, copilot, chatgpt, gemini (basis: transport) ## Trust 60/100 (B), scored on the content rubric - Publisher verified: no - Install scripts: nothing suspicious found - Prompt-injection scan: clean - Obfuscation scan: clean - Evidence age: 11 days ## Security scan - **Status:** clean - **Scanned:** 2026-09-24T12:12:50.053Z - **Version scanned:** live - **CVEs:** no coverage — this entry has no package coordinates to query OSV against, so "no known CVEs" is NOT asserted for it. ## Tools 15 declared. Observed from a live `tools/list` probe. - `get_price_history` — Get daily OHLCV price history for a ticker: open/high/low/close/volume. Use period_days to control how far back (default 365, max 3650). - `get_technical_indicators` — Calculate technical indicators for a ticker: SMA(50/200), RSI(14), MACD, ATR(14), ADX(14) trend strength, Stochastic(14,3), volume (OBV trend + volume vs 20-day - `get_relative_strength` — Calculate relative strength ratio between two tickers (A/B). Returns verdict_ru and vs_sma50_pct — USE THOSE in your reply. The bare pair («0.2613 против своей - `get_key_levels` — Compute key price levels for a ticker: support/resistance zones (clustered swing highs/lows with touch counts = how often price reacted there), nearby round num - `get_intermarket` — Intermarket compass — a first-pass read of the market environment through price-ratio lenses: asset-class rotation (bonds vs stocks, commodities), risk appetite - `get_market_breadth` — S&P 500 market breadth: the percentage of index members above their 50-day and 200-day moving averages, with RSI, trend and 52-week range for each breadth serie - `get_sentiment_data` — Get market sentiment indicators: CBOE Put/Call ratios (total, equity, index, VIX), AAII investor sentiment survey (bull/bear/neutral %), and VIX level. Useful f - `get_macro_context` — Get macro market context: sector P/E ratios, sector performance, US Treasury rates (2Y/10Y/30Y), CPI inflation data. Also provides key inter-market ratios (HYG/ - `get_crypto_context` — Crypto market context for a technical read: BTC/ETH dominance and total/alt market cap, Fear & Greed sentiment, perp funding rate & open interest (positioning/l - `get_instrument_info` — Get current information about a financial instrument: price, price changes, market state, 52-week range, earnings date. Provide either instrument_id (UUID) or t - `get_event_stats` — Historical base rates for the technical events firing on a ticker today (e.g. RSI below 30, golden/death cross, new 52-week high/low). For each active event: th - `public_instrument_news` — Latest news for a ticker — headline, a short summary and a mandatory source_url to the original article (never the full third-party text). Use to ground a marke - `public_search_news` — Semantic news search across tracked instruments — returns matching items with a short summary and a mandatory source_url (never full article text). - `get_ta_methodology` — Look up MarketCrew's distilled technical-analysis methodology — our own synthesized notes on how to read indicators, structure, levels and regime — to ground an - `get_monitoring_options` — Returns available options for ongoing monitoring — price alerts, idea tracking, watchlist monitoring, scheduled digests — with setup instructions and channels ( ## Install **Verdict: review** — Installable, but 2 things to check first: No CVE coverage: this entry has no npm/PyPI coordinates to query OSV against, so "no known vulnerabilities" is not a claim that can be made about it. **Cautions** (coverage gaps and advisories — never blocking) - No CVE coverage: this entry has no npm/PyPI coordinates to query OSV against, so "no known vulnerabilities" is not a claim that can be made about it. - No publisher has proved control of this listing; it is indexed, not vouched for. **Config** (claude-code): ```json "{\n \"mcpServers\": {\n \"market-data\": {\n \"type\": \"http\",\n \"url\": \"https://marketcrew.ai/mcp\"\n }\n }\n}" ``` ## Blast radius Contained to moderate — no credential declaration found, from the publisher, the upstream registry, or the README. Known so far: runs on someone else's infrastructure; read-only tool surface. - Floor 9, ceiling 27 (tier: unknown) - `unknown` means the floor and ceiling land in different bands — not measured enough to name one. It does not mean low. - This is impact, not likelihood. A high radius is not a defect: a filesystem server is supposed to write files. It is never part of the trust score. ## Machine-readable views of this entry - Signed JSON: https://forgeregistry.com/api/v1/packages/ai.marketcrew%2Fmarket-data - Install plan: https://forgeregistry.com/api/v1/packages/ai.marketcrew%2Fmarket-data/install-plan - Alternatives: https://forgeregistry.com/api/v1/alternatives/ai.marketcrew%2Fmarket-data - HTML page: https://forgeregistry.com/registry/ai.marketcrew%2Fmarket-data - MCP: POST https://forgeregistry.com/api/mcp → `forge_get_package` / `forge_install_plan` ## About this document Generated by Forge (https://forgeregistry.com) — a compact rendering of the same record served, signed, at the JSON URL above. Trust and scan facts are the registry's own measurements; anything Forge did not measure is named as unmeasured rather than omitted.