io.github.midasflowai-lab/midasflow-mcp-quickstart
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Publisher-provided description
Agent-native crypto market-data over MCP+REST: order flow, whales, liquidations, calibrated scores
Summary by lookupd
Provides crypto market data to agents: order flow, whale prints, liquidations, order books, candles, signals and calibrated trade scores.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http midasflow-mcp-quickstart https://mcp.midasflow.ai/mcp
Codex, remote (streamable-http)
codex mcp add midasflow-mcp-quickstart --url https://mcp.midasflow.ai/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"midasflow-mcp-quickstart": {
"url": "https://mcp.midasflow.ai/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (14 tools)
Publisher-provided text
get_signalsPull recent MidasFlow SignalEvent records (newest first). quality='normal' (default) = the bucketed signal log across source families; quality='elite' = the rarscore_symbolCROWN data product: calibrated P(first TP1 before SL) band + coarse trade plan (TP ladder %, SL %, weights) for ONE symbol, FOLDED with a pre-trade feed-safetyget_candlesRecent OHLCV candle bars for a symbol at a chosen timeframe — the raw price/volume history other tools are derived from. Inspect trend, range, volatility, volumget_orderbookLive order-book snapshot for a symbol — bid/ask walls, book imbalance, spread — FOLDED with support/resistance levels (classic TA fused with cross-exchange bookget_flowPer-symbol order-flow microstructure, grouped by `kind`. kind='vpin'/'all' (default)=full snapshot (CVD trend+divergence, VPIN toxicity, sweep state, buy/whaleget_heatmapLiquidation-heatmap matrix for a symbol — price levels where leveraged positions cluster and are likely force-liquidated (price-magnet zones / liquidity pools).get_contextContextual market reads, grouped by `kind`. kind='regime'=market-regime labels (/v1/regime, market-wide, no symbol needed); 'phase'=move-lifecycle / entry-timinget_whalesLarge-player / forced-flow intel, grouped by `kind`. kind='whales' (default)=recent large ('whale') prints for a symbol, banded size+side (/v1/whales); kind='liget_marketWhole-market reads, grouped by `kind`. kind='movers' (default)=top movers ranked (/v1/movers); 'overview'=whole-market roll-up — breadth / direction / activityget_accuracyRealized track-record (proof of edge, forward-only, Wilson-bounded), grouped by `kind`. kind='accuracy' (default)=source×boost first-TP win-rate + boost lift inaccountYour mf_ key's account view, grouped by `kind`. kind='account' (default)=tier/product, weighted daily quota, used/remaining today, billing, prepaid balance (/v1backtestLAB / RESEARCH tool — replay an arbitrary {symbol, entry, tp, sl} setup over MidasFlow's 1m candle history and get its historical P(TP1-before-SL) + EV, in theanalyzeLAB / RESEARCH tool — the full MidasFlow AI-Analyst report for a symbol: a synthesized narrative fusing flow, derivatives, levels, regime and signal context intcalc_evLAB tool — pure local expected-value calculator over a win-rate and average win/loss percentages. No network, no advice, 0 units. Feed a get_accuracy bucket win
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 75%
- Median latency: 1718 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/midasflowai-lab/midasflow-mcp-quickstart
- Website: https://midasflow.ai/docs/api
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https://api.lookupd.com/mcp