Market Data is an MCP server with 15 tools an agent can call, among them get_crypto_context, get_event_stats, get_instrument_info. It answers at https://marketcrew.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
Live market data & technical analysis for US stocks, ETFs and crypto. Read-only, no signup.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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/leverage), and the Stablecoin Supply Ratio (dry powder). Use ONLY when analysing |
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: the forward returns (1w/1m/3m/6m/1y) seen historically after similar events across Inputs: ticker |
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 ticker (e.g. 'AAPL'). Inputs: instrument_id, ticker |
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 (high-yield vs investment-grade credit, small vs large caps, cyclicals vs defen Inputs: focus |
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 numbers, 50/200-day moving averages, and the 52-week high/low. Returns nearest leve Inputs: ticker |
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/LQD, TLT/SPY) from our price data. |
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 series. A gauge of how broad the current advance or decline is. |
get_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 notifica Inputs: intent |
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). Inputs: ticker, from_date, to_date, bars, period_days |
get_relative_strength | 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. Inputs: ticker_a, ticker_b, period_days |
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 for contrarian signals at extremes. Inputs: type |
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 answer in a consistent framework. Returns short passages in our words with rele Inputs: query, top_k |
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 average), RSI/price divergence, Golden/Death Cross, and RSI regime. Computed fr Inputs: ticker |
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 market read in recent, attributable news. Inputs: ticker, days_back, limit |
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). Inputs: query, days_back, limit, min_similarity |
Every block below points at https://marketcrew.ai/mcp. Pick your client and copy.
claude mcp add --transport http market-data https://marketcrew.ai/mcp
{
"mcpServers": {
"market-data": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://marketcrew.ai/mcp"]
}
}
}{
"mcpServers": {
"market-data": {
"url": "https://marketcrew.ai/mcp"
}
}
}{
"servers": {
"market-data": {
"type": "http",
"url": "https://marketcrew.ai/mcp"
}
}
}{
"context_servers": {
"market-data": {
"url": "https://marketcrew.ai/mcp"
}
}
}{
"mcpServers": {
"market-data": {
"serverUrl": "https://marketcrew.ai/mcp"
}
}
}{
"mcpServers": {
"market-data": {
"url": "https://marketcrew.ai/mcp"
}
}
}name: market-data
version: 0.0.1
schema: v1
mcpServers:
- name: market-data
type: streamable-http
url: https://marketcrew.ai/mcp{
"mcpServers": {
"market-data": {
"httpUrl": "https://marketcrew.ai/mcp"
}
}
}{
"mcpServers": {
"market-data": {
"type": "http",
"url": "https://marketcrew.ai/mcp"
}
}
}{
"mcpServers": {
"market-data": {
"url": "https://marketcrew.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmarketcrew.ai%2Fmcp&type=streamable_http&id=market-data&name=market-data
It answered our last check on 17 October 2026 in 161 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by marketcrew.ai and served from marketcrew.ai, the vendor's own domain: https://marketcrew.ai/mcp.
15, as returned by the server's own tools/list on 8 September 2026: get_crypto_context, get_event_stats, get_instrument_info, get_intermarket, get_key_levels, get_macro_context, get_market_breadth, get_monitoring_options, and 7 more.
It answered our last check on 17 October 2026 in 161 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://marketcrew.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: ai.marketcrew. Endpoint host: marketcrew.ai. ARD identifier: urn:air:ai.marketcrew:mcp:market-data.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.