# ai.marketcrew/market-data (remote · marketcrew.ai)

Live market data & technical analysis for US stocks, ETFs and crypto. Read-only, no signup.

- Trust score: 75/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-14

## Components

- remote · `marketcrew.ai`: 75/100 (this document), [markdown](https://verifymcp.io/servers/ai-marketcrew-market-data/marketcrew.md), [page](https://verifymcp.io/servers/ai-marketcrew-market-data/marketcrew)

## Channel facts

- Endpoint: `https://marketcrew.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-14.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 84/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 1566 tokens (~104/item across 15 items; 15 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 10/100
  - Stability observed for 3 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http ai-marketcrew-market-data https://marketcrew.ai/mcp
```

### Codex

```toml
[mcp_servers.ai-marketcrew-market-data]
url = "https://marketcrew.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-marketcrew-market-data": {
      "type": "remote",
      "url": "https://marketcrew.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-marketcrew-market-data --url https://marketcrew.ai/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-marketcrew-market-data:
    url: "https://marketcrew.ai/mcp"
```

### Other

```json
{
  "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.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-13 (score 75, +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.

### 2026-08-12 (score 74, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-08-11 (score 74)

First indexed and scored.

## MCP tools (15)

### `get_price_history` (~94 tokens)

Price history (OHLCV)

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).

Input parameters:

- `period_days` (integer): Number of days of history (default 365, max 3650)
- `ticker` (string, required): Ticker symbol, e.g. 'SPY', 'GDX', 'AAPL'

### `get_technical_indicators` (~101 tokens)

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 average), RSI/price divergence, Golden/Death Cross, and RSI regime. Computed from daily price history.

Input parameters:

- `ticker` (string, required): Ticker symbol, e.g. 'SPY'

### `get_relative_strength` (~125 tokens)

Relative strength (A/B)

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.

Input parameters:

- `period_days` (integer): Days of history (default 365, max 1825)
- `ticker_a` (string, required): Numerator ticker, e.g. 'GDX'
- `ticker_b` (string, required): Denominator ticker, e.g. 'GLD'

### `get_key_levels` (~103 tokens)

Key price 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 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.

Input parameters:

- `ticker` (string, required): Ticker symbol, e.g. 'SPY'

### `get_intermarket` (~154 tokens)

Intermarket compass

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.

Input parameters:

- `focus` (string): Asset class being analysed — adds its specific lenses

### `get_market_breadth` (~61 tokens)

Market breadth (S&P 500)

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.

### `get_sentiment_data` (~81 tokens)

Market sentiment

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.

Input parameters:

- `type` (string): Which data: 'all' (default), 'put_call', 'vix'

### `get_macro_context` (~61 tokens)

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/LQD, TLT/SPY) from our price data.

### `get_crypto_context` (~78 tokens)

Crypto market 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/leverage), and the Stablecoin Supply Ratio (dry powder). Use ONLY when analysing crypto assets (BTC, ETH, crypto ETFs). Background context, not the primary signal.

### `get_instrument_info` (~81 tokens)

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 ticker (e.g. 'AAPL').

Input parameters:

- `instrument_id` (string): UUID of the financial instrument
- `ticker` (string): Ticker symbol, e.g. 'AAPL'

### `get_event_stats` (~119 tokens)

Event base rates

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.

Input parameters:

- `ticker` (string, required): Ticker symbol, e.g. 'SPY'

### `public_instrument_news` (~116 tokens)

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 market read in recent, attributable news.

Input parameters:

- `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, required): Ticker symbol, e.g. 'NBIS', 'AAPL', 'GDX'

### `public_search_news` (~130 tokens)

News search

Semantic news search across tracked instruments — returns matching items with a short summary and a mandatory source_url (never full article text).

Input parameters:

- `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, required): Natural language search query describing ONE semantic angle, e.g. 'Nebius Meta deal contract $27 billion compute capacity'

### `get_ta_methodology` (~96 tokens)

Technical analysis 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 answer in a consistent framework. Returns short passages in our words with relevance scores.

Input parameters:

- `query` (string, required): What you want the methodology on, e.g. 'reading RSI in a trend'
- `top_k` (integer): How many passages to return (default 6)

### `get_monitoring_options` (~73 tokens)

Monitoring options

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.

Input parameters:

- `intent` (string): Which monitoring the user asked for.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-marketcrew-market-data/marketcrew#diagnostics

## Score history

- 2026-08-14: 75
- 2026-08-13: 75
- 2026-08-12: 74
- 2026-08-11: 74

## Links

- Remote endpoint: https://marketcrew.ai/mcp
- Website: https://marketcrew.ai/
- Changelog RSS feed: https://verifymcp.io/servers/ai-marketcrew-market-data/marketcrew.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-marketcrew-market-data/marketcrew.json
- HTML version of this page: https://verifymcp.io/servers/ai-marketcrew-market-data/marketcrew