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Directory / MarketCrew — live market data & stock analysis
MarketCrew — live market data & stock analysis
by marketcrew.ai · https://marketcrew.ai/mcp
Stock prices, charts & technical analysis for US stocks, ETFs and crypto. Read-only, no signup.
11 of 11 checks · 8 Nov 2026
At a glance
- Runs where
- On their server. What you send to it goes to them.
- What you need
- Nothing: it answered without a login
- Tools
- 15 tools
- Its own safety labels
- 15 read-only
- Memory it takes
- About 2,600 tokens of your AI's memory, just for its tool descriptions
- Largest answer
- About 4.2 KB in our test
- Speed
- Average answer in our test: 1.1 s
Tokens are an estimate: the characters in its tool names, descriptions and inputs, divided by 4. The exact number depends on your AI model. Safety labels are what the server says about itself. From our latest test, 8 Nov 2026.
Is MarketCrew — live market data & stock analysis MCP server safe?
- None of the hidden-instruction wordings we know were found in its 15 tool descriptions.
- Its error messages showed no secrets or internal details.
- All 15 of its tools are labeled read-only.
- Overall it scored 93/100 on 8 Nov 2026.
A test can only see what the server shows from outside, not what it does with your data behind the scenes. Connect servers from makers you trust.
What this test does not check
- Its source code and packages.
- What a tool quietly does behind the scenes, such as writing a file or calling another service.
- Instructions hidden inside live tool answers. We only look for those in tool descriptions.
- Hidden instructions worded in a way our list doesn't know yet.
- Tools that could change something. Those are read, never run.
What QAmcp can and can't see · How to tell if an MCP server is safe · Hidden instructions · Prompt injection
Known security advisories
None found in GitHub Security Advisories on 8 Nov 2026.
That means none were published there, not that there are no problems. QAmcp tests how a server behaves. It does not scan source code.
What it can do
15 tools, in the server's own words.
get_price_historyread-onlyGet daily OHLCV price history for a ticker: open/high/low/close/volume.
get_technical_indicatorsread-onlyCalculate 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-da…
get_relative_strengthread-onlyRelative strength of one ticker against another as a price ratio A/B (e.g.
get_key_levelsread-onlyCompute key price levels for a ticker: support/resistance zones (clustered swing highs/lows with touch counts = how often price reacted there), nearby round nu…
get_intermarketread-onlyIntermarket compass — a first-pass read of the market environment through price-ratio lenses: asset-class rotation (bonds vs stocks, commodities), risk appetit…
get_market_breadthread-onlyS&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 seri…
get_sentiment_dataread-onlyMarket sentiment: the VIX level with its 1-day, 5-day and 1-month change and 52-week range, and Cboe's daily put/call ratios for all products, equities, indice…
get_macro_contextread-onlyGet macro market context: sector P/E ratios, sector performance, US Treasury rates (2Y/10Y/30Y), CPI inflation data.
get_crypto_contextread-onlyCrypto market context for a technical read: BTC/ETH dominance and total/alt market cap, Fear & Greed sentiment, perp funding rate & open interest (positioning/…
get_instrument_inforead-onlyCurrent snapshot of one instrument: price and recent changes, session state (regular, pre-market, after-hours, closed), 52-week range, and market cap, sector a…
get_event_statsread-onlyHistorical base rates for the technical events firing on a ticker today (e.g.
public_instrument_newsread-onlyLatest news for a ticker — headline, a short summary and a mandatory source_url to the original article (never the full third-party text).
public_search_newsread-onlySemantic news search across tracked instruments — returns matching items with a short summary and a mandatory source_url (never full article text).
get_ta_methodologyread-onlyLook up MarketCrew's distilled technical-analysis methodology — our own synthesized notes on how to read indicators, structure, levels and regime — to ground a…
get_monitoring_optionsread-onlyReturns available options for ongoing monitoring — price alerts, idea tracking, watchlist monitoring, scheduled digests — with setup instructions and channels …
Test results
Safe mode: only tools labeled read-only were run. How the test works
- !Ready for the newest MCP versionnote
1 warning
- !Uses an older MCP version (2025-11-25). It works today, but it isn't on the July 2026 version (2026-07-28) yet.
- !Fast enoughnote
1 warning
- !public_search_news: Slowest tool: public_search_news (8.7 s): users will notice the wait
- and 3 more
- ✓ConnectsConnected in 550 mspass
- ✓Lists its toolsFound 15 toolspass
- ✓Every tool is describedAll 15 tools and their inputs are describedpass
- ✓Tools are labeled safe or dangerousEvery tool has a safety labelpass
- ✓No known hidden instructionsNone of the hidden-instruction wordings we know were found in tool descriptions. New wordings can get past this check.pass
- ✓Tools work with good inputspass
All good
- ✓get_price_history: Worked (233 ms)
- ✓get_technical_indicators: Worked (146 ms)
- ✓get_relative_strength: Worked (122 ms)
- ✓get_key_levels: Worked (137 ms)
- ✓get_intermarket: Worked (1.7 s)
- ✓get_market_breadth: Worked (408 ms)
- ✓get_sentiment_data: Worked (246 ms)
- ✓get_macro_context: Worked (1.1 s)
- and 7 more
- ✓Bad inputs give a clean errorpass
All good
- ✓get_price_history: Refused missing required input "ticker" with a clear error
- ✓get_price_history: Refused wrong type for "ticker" with a clear error
- ✓get_technical_indicators: Refused missing required input "ticker" with a clear error
- ✓get_technical_indicators: Refused wrong type for "ticker" with a clear error
- ✓get_relative_strength: Refused missing required input "ticker_a" with a clear error
- ✓get_relative_strength: Refused wrong type for "ticker_a" with a clear error
- ✓get_key_levels: Refused missing required input "ticker" with a clear error
- ✓get_key_levels: Refused wrong type for "ticker" with a clear error
- and 12 more
- ✓No secrets leakedChecked 20 error messages: no secrets or internal detailspass
- ✓Follows MCP best practices (not scored yet)Tool names, safety labels and tool list size follow the MCP guidepass
- –Tools work togetherNo tool's answer could be fed into another tool, so there were no chains to test (not counted either way)not tested
Test it yourself
Free and open source. Same checks, same score.
npx qamcp-cli https://marketcrew.ai/mcpShow this score on GitHub
Free for every server in the directory. Paste this into your README: the badge shows the score from our latest test.
[](https://qamcp.dev/s/ai-marketcrew-market-data.html)Score over time
- 8 Nov 202693
One test so far. New tests will show here.
Reviews
Coming soon: reviews from people who use MarketCrew — live market data & stock analysis, signed in with GitHub, one per person. Reviews never change the score.
QAmcp Monitor tests it every hour and emails you when it goes down, the score drops, a tool changes or a secret leaks. Free for 1 server, no card.
Have a concern, or want it removed? Ask us and we'll take it off the list. How the directory works