ai.marketcrew/market-data
REMOTE · MARKETCREW.AI · SCANNED AUG 14
Live market data & technical analysis for US stocks, ETFs and crypto. Read-only, no signup.
Available components
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 →
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 Usability84
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 1566 tokens (~104/item across 15 items; 15 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management10
- Stability observed for 3 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
remote · marketcrew.ai
claude mcp add --transport http ai-marketcrew-market-data https://marketcrew.ai/mcp
[mcp_servers.ai-marketcrew-market-data] url = "https://marketcrew.ai/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ai-marketcrew-market-data": {
"type": "remote",
"url": "https://marketcrew.ai/mcp",
"enabled": true
}
}
} openclaw mcp add ai-marketcrew-market-data --url https://marketcrew.ai/mcp --transport streamable-http
mcp_servers:
ai-marketcrew-market-data:
url: "https://marketcrew.ai/mcp" {
"mcpServers": {
"ai-marketcrew-market-data": {
"type": "http",
"url": "https://marketcrew.ai/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
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.
- 13 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Aug 26 0
- Stability: unverified → 0.03 ▲ functional
- 11 Aug 26 74
First indexed and scored.
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 14 Aug 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=YE1,O=Let's Encrypt,C=US | 6 Jul 2026 | 4 Oct 2026 | ECDSA 256 | ECDSA-SHA384 | 5416754f7d5cf458c430ff91e0309f9b045 |
| SANs: *.marketcrew.ai, marketcrew.ai | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| 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 |
DNSSEC insecure
Validation of marketcrew.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 3799 | 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=() |
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.
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.
No output schema declared.
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' |
No output schema declared.
No examples provided.
get_instrument_info Instrument info ~81
Get current information about a financial instrument: price, price changes, market state, 52-week range, earnings date. Provide either instrument_id (UUID) or ticker (e.g. 'AAPL').
| Name | Type | Req | Description |
|---|---|---|---|
| instrument_id | string | – | UUID of the financial instrument |
| ticker | string | – | Ticker symbol, e.g. 'AAPL' |
No output schema declared.
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 |
No output schema declared.
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' |
No output schema declared.
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.
No output schema declared.
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.
No output schema declared.
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. |
No output schema declared.
No examples provided.
get_price_history Price history (OHLCV) ~94
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 |
|---|---|---|---|
| period_days | integer | – | Number of days of history (default 365, max 3650) |
| ticker | string | yes | Ticker symbol, e.g. 'SPY', 'GDX', 'AAPL' |
No output schema declared.
No examples provided.
get_relative_strength Relative strength (A/B) ~125
Calculate relative strength ratio between two tickers (A/B). Returns current ratio, SMA(50)/SMA(200) of ratio, RSI of ratio, trend direction. Used for inter-market analysis: e.g. GDX/GLD, HYG/LQD, XLK/SPY.
| 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' |
No output schema declared.
No examples provided.
get_sentiment_data Market sentiment ~81
Get market sentiment indicators: CBOE Put/Call ratios (total, equity, index, VIX), AAII investor sentiment survey (bull/bear/neutral %), and VIX level. Useful for contrarian signals at extremes.
| Name | Type | Req | Description |
|---|---|---|---|
| type | string | – | Which data: 'all' (default), 'put_call', 'vix' |
No output schema declared.
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) |
No output schema declared.
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' |
No output schema declared.
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' |
No output schema declared.
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' |
No output schema declared.
No examples provided.