ai.marketcrew/market-data
REMOTE · MARKETCREW.AI
Live market data & technical analysis for US stocks, ETFs and crypto. Read-only, no signup.
Available components
Last scanned (3 hours ago)
Scores higher than 96% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Finance and Payments
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability77
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1892 tokens (~126/item across 15 items; 15 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 15 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 16 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 20 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- 18 Oct 26 0
- Tool “get_instrument_info” rewrote its description, which is the text the model reads security
- 17 Oct 26 0
- Tool “get_instrument_info” rewrote its description, which is the text the model reads security
- Tool “get_sentiment_data” rewrote its description, which is the text the model reads security
- “get_sentiment_data” reworded the description of “type” cosmetic
- 2 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Tool “get_instrument_info” rewrote its description, which is the text the model reads security
- Tool “get_relative_strength” rewrote its description, which is the text the model reads security
- Tool “get_sentiment_data” rewrote its description, which is the text the model reads security
- “get_sentiment_data” reworded the description of “type” cosmetic
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 13 Sept 26 0
- Tool “get_relative_strength” rewrote its description, which is the text the model reads security
- Server version: 1.29.1 → 1.30.0 functional
- 10 Sept 26 0
- Stability: 0.97 → pass security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://marketcrew.ai/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=marketcrew.ai | CN=YE2,O=Let's Encrypt,C=US | 2 Nov 2026 | 31 Jan 2027 | ECDSA 256 | ECDSA-SHA384 | 5dd269edf5ee7be6759f42e2f865253e4e0 |
| SANs: *.marketcrew.ai, marketcrew.ai | ||||||
| CN=YE2,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 4df3b15dd6c0784c507cd37b58e6f115 |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of marketcrew.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 1814, 3799 | 8, 8 | Verified |
| marketcrew.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000; includeSubDomains |
| content-security-policy | default-src 'self'; script-src 'self' 'unsafe-inline' 'unsafe-eval' https://js.stripe.com https://us.i.posthog.com https://*.posthog.com https://cdn.jsdelivr.net https://unpkg.com https://kit.fontawesome.com https://*.fontawesome.com https://static.cloudflareinsights.com https://challenges.cloudflare.com; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com https://*.fontawesome.com https://cdn.jsdelivr.net; font-src 'self' https://fonts.gstatic.com https://*.fontawesome.com https://cdn.jsdelivr.net; img-src 'self' data: https: blob:; connect-src 'self' https://*.supabase.co https://us.i.posthog.com https://*.posthog.com wss://*.supabase.co https://cdn.jsdelivr.net https://*.fontawesome.com https://unpkg.com https://challenges.cloudflare.com; frame-src https://js.stripe.com https://challenges.cloudflare.com; object-src 'none'; base-uri 'self'; |
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | strict-origin-when-cross-origin |
| permissions-policy | geolocation=(), microphone=(), camera=() |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://marketcrew.ai/mcp | Verified | 200 | |
| http (plaintext) | http://marketcrew.ai/mcp | HTTPS enforced | 301 | https://marketcrew.ai/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_crypto_context Crypto market context ~78
Crypto market context for a technical read: BTC/ETH dominance and total/alt market cap, Fear & Greed sentiment, perp funding rate & open interest (positioning/leverage), and the Stablecoin Supply Ratio (dry powder). Use ONLY when analysing crypto assets (BTC, ETH, crypto ETFs). Background context, not the primary signal.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| date | string|null | – | – |
| etf_flows | object|null | – | – |
| liquidity | object|null | – | – |
| market_structure | object|null | – | – |
| positioning | object|null | – | – |
| sentiment | object|null | – | – |
| sources | object|null | – | – |
No examples provided.
get_event_stats Event base rates ~119
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: the forward returns (1w/1m/3m/6m/1y) seen historically after similar events across the US universe, with the sample size and an unconditional baseline to compare against. Answers 'what usually happened after this'; small samples warrant caution.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | Ticker symbol, e.g. 'SPY' |
| Name | Type | Req | Description |
|---|---|---|---|
| active_events | array|null | – | – |
| note | string|null | – | – |
| ticker | string|null | – | – |
No examples provided.
get_instrument_info Instrument info ~173
Current snapshot of one instrument: price and recent changes, session state (regular, pre-market, after-hours, closed), 52-week range, and market cap, sector and next earnings date where they apply. Covers the S&P 500, the Nasdaq-100 and popular US ETFs, major cryptocurrencies and the Cboe Volatility Index; crypto uses the -USD pair form (BTC-USD, ETH-USD), the VIX is ^VIX. Forex pairs, futures, options, other indices and non-US listings are not covered. Pass a ticker such as 'AAPL', 'SPY', 'BTC-USD' or '^VIX'.
| Name | Type | Req | Description |
|---|---|---|---|
| instrument_id | string | – | UUID of the financial instrument |
| ticker | string | – | Ticker symbol, e.g. 'AAPL' |
| Name | Type | Req | Description |
|---|---|---|---|
| currency | string|null | – | – |
| current_price | number|null | – | – |
| extended_hours_change_pct | number|null | – | – |
| extended_hours_price | number|null | – | – |
| fifty_two_week_high | number|null | – | – |
| fifty_two_week_low | number|null | – | – |
| full_name | string|null | – | – |
| industry | string|null | – | – |
| instrument_id | string|null | – | – |
| market_cap | number|null | – | – |
| market_state | string|null | – | – |
| next_earnings_date | string|null | – | – |
| price_changes | object|null | – | – |
| price_updated_at | string|null | – | – |
| sector | string|null | – | – |
| session_note | string|null | – | – |
| ticker | string|null | – | – |
| type | string|null | – | – |
No examples provided.
get_intermarket Intermarket compass ~154
Intermarket compass — a first-pass read of the market environment through price-ratio lenses: asset-class rotation (bonds vs stocks, commodities), risk appetite (high-yield vs investment-grade credit, small vs large caps, cyclicals vs defensives), defensive flows (gold, utilities, yield-curve proxy) and the dollar. Each lens reports rising/falling vs its 50-day average plus the 20-day change; overall posture is risk_on, risk_off or mixed. Optional focus= ('gold'|'bonds'|'tech'|'commodities'|'equity'|'crypto') adds lenses specific to that asset class.
| Name | Type | Req | Description |
|---|---|---|---|
| focus | string | – | Asset class being analysed — adds its specific lenses |
| Name | Type | Req | Description |
|---|---|---|---|
| focus | object|null | – | – |
| note | string|null | – | – |
| overall | string|null | – | – |
| questions | array|null | – | – |
| votes | object|null | – | – |
No examples provided.
get_key_levels Key price levels ~103
Compute key price levels for a ticker: support/resistance zones (clustered swing highs/lows with touch counts = how often price reacted there), nearby round numbers, 50/200-day moving averages, and the 52-week high/low. Returns nearest levels above (resistance) and below (support) with distance %. Use these for concrete trigger/target/invalidation levels.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | Ticker symbol, e.g. 'SPY' |
| Name | Type | Req | Description |
|---|---|---|---|
| close | number|null | – | – |
| date | string|null | – | – |
| note | string|null | – | – |
| resistance | array|null | – | – |
| support | array|null | – | – |
| ticker | string|null | – | – |
No examples provided.
get_macro_context Macro context ~61
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/LQD, TLT/SPY) from our price data.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| date | string|null | – | – |
| inter_market_ratios | object|null | – | – |
No examples provided.
get_market_breadth Market breadth (S&P 500) ~61
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 series. A gauge of how broad the current advance or decline is.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| date | string|null | – | – |
| pct_above_200d_ma | object|null | – | – |
| pct_above_50d_ma | object|null | – | – |
No examples provided.
get_monitoring_options Monitoring options ~73
Returns available options for ongoing monitoring — price alerts, idea tracking, watchlist monitoring, scheduled digests — with setup instructions and channels (email/Telegram). Call only when the user asks for ongoing monitoring or notifications; never needed to answer a question.
| Name | Type | Req | Description |
|---|---|---|---|
| intent | string | – | Which monitoring the user asked for. |
| Name | Type | Req | Description |
|---|---|---|---|
| channels | array|null | – | – |
| intent | string|null | – | – |
| message | string|null | – | – |
| register_url | string|null | – | – |
No examples provided.
get_price_history Price history (OHLCV) ~156
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).
| Name | Type | Req | Description |
|---|---|---|---|
| bars | integer | – | how many recent sessions to return when no window is given (default 20, max 120) |
| from_date | string | – | start of the window to quote, YYYY-MM-DD |
| period_days | integer | – | Number of days of history (default 365, max 3650) |
| ticker | string | yes | Ticker symbol, e.g. 'SPY', 'GDX', 'AAPL' |
| to_date | string | – | end of the window to quote, YYYY-MM-DD |
| Name | Type | Req | Description |
|---|---|---|---|
| current | object|null | – | – |
| date_range | object|null | – | – |
| instrument_id | string|null | – | – |
| period_return_pct | number|null | – | – |
| recent_prices | array|null | – | – |
| ticker | string|null | – | – |
| total_bars | number|null | – | – |
No examples provided.
get_relative_strength Relative strength (A/B) ~142
Relative strength of one ticker against another as a price ratio A/B (e.g. GDX/GLD, HYG/LQD, XLK/SPY, NVDA/SPY): how far the ratio sits above or below its 50- and 200-day averages, the ratio's RSI and trend, recent values, and a one-line verdict on which side is leading.
| Name | Type | Req | Description |
|---|---|---|---|
| period_days | integer | – | Days of history (default 365, max 1825) |
| ticker_a | string | yes | Numerator ticker, e.g. 'GDX' |
| ticker_b | string | yes | Denominator ticker, e.g. 'GLD' |
| Name | Type | Req | Description |
|---|---|---|---|
| current_ratio | number|null | – | – |
| data_points | number|null | – | – |
| pair | string|null | – | – |
| period_change_pct | number|null | – | – |
| ratio_rsi_14 | number|null | – | – |
| ratio_sma200 | number|null | – | – |
| ratio_sma50 | number|null | – | – |
| recent_values | array|null | – | – |
| signals | object|null | – | – |
| trend | string|null | – | – |
No examples provided.
get_sentiment_data Market sentiment ~113
Market 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, indices, SPX and VIX options with the underlying call and put volumes. Flags a contrarian extreme when the equity put/call ratio or the VIX sits at one.
| Name | Type | Req | Description |
|---|---|---|---|
| type | string | – | Which data: 'all' (default), 'put_call' or 'vix'. |
| Name | Type | Req | Description |
|---|---|---|---|
| date | string|null | – | – |
| put_call | object|null | – | – |
No examples provided.
get_ta_methodology Technical analysis methodology ~96
Look up MarketCrew's distilled technical-analysis methodology — our own synthesized notes on how to read indicators, structure, levels and regime — to ground an answer in a consistent framework. Returns short passages in our words with relevance scores.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | What you want the methodology on, e.g. 'reading RSI in a trend' |
| top_k | integer | – | How many passages to return (default 6) |
| Name | Type | Req | Description |
|---|---|---|---|
| error | string|null | – | – |
| message | string|null | – | – |
No examples provided.
get_technical_indicators Technical indicators ~101
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 average), RSI/price divergence, Golden/Death Cross, and RSI regime. Computed from daily price history.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | Ticker symbol, e.g. 'SPY' |
| Name | Type | Req | Description |
|---|---|---|---|
| close | number|null | – | – |
| date | string|null | – | – |
| indicators | object|null | – | – |
| position | object|null | – | – |
| range_52w | object|null | – | – |
| signals | object|null | – | – |
| ticker | string|null | – | – |
| weekly | object|null | – | – |
No examples provided.
public_instrument_news Instrument news ~116
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 market read in recent, attributable news.
| Name | Type | Req | Description |
|---|---|---|---|
| days_back | integer | – | How many days back to fetch (default 30, max 90) |
| limit | integer | – | Max articles to return (default 30, max 60) |
| ticker | string | yes | Ticker symbol, e.g. 'NBIS', 'AAPL', 'GDX' |
| Name | Type | Req | Description |
|---|---|---|---|
| results | array|null | – | – |
No examples provided.
public_search_news News search ~130
Semantic news search across tracked instruments — returns matching items with a short summary and a mandatory source_url (never full article text).
| Name | Type | Req | Description |
|---|---|---|---|
| days_back | integer | – | How many days back to search (default 30, max 90) |
| limit | integer | – | Max results to return (default 10, max 20) |
| min_similarity | number | – | Minimum similarity threshold 0.0-1.0 (default 0.40) |
| query | string | yes | Natural language search query describing ONE semantic angle, e.g. 'Nebius Meta deal contract $27 billion compute capacity' |
| Name | Type | Req | Description |
|---|---|---|---|
| results | array|null | – | – |
No examples provided.
How do I install the ai.marketcrew/market-data MCP server?
ai.marketcrew/market-data is a hosted endpoint at https://marketcrew.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · marketcrew.ai
claude mcp add --transport http ai-marketcrew-market-data 'https://marketcrew.ai/mcp'
What is the ai.marketcrew/market-data MCP server?
ai.marketcrew/market-data is an MCP server listed in the public MCP registry as ai.marketcrew/market-data. Live market data & technical analysis for US stocks, ETFs and crypto. Read-only, no signup. This page covers its hosted endpoint (https://marketcrew.ai/mcp).
Is the ai.marketcrew/market-data MCP server safe to use?
ai.marketcrew/market-data scores 88 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the ai.marketcrew/market-data MCP server expose?
ai.marketcrew/market-data exposes 15 tools: get_price_history, get_technical_indicators, get_relative_strength, get_key_levels, get_intermarket, and 10 more. Their descriptions and schemas cost roughly 1,676 tokens of context every time the server is loaded.
Does the ai.marketcrew/market-data MCP server require authentication?
No. We connected to ai.marketcrew/market-data without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the ai.marketcrew/market-data MCP server still maintained?
ai.marketcrew/market-data is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.