MCP serverio.github.midasflowai-lab/midasflow-mcp-quickstart
Agent-native crypto market-data over MCP+REST: order flow, whales, liquidations, calibrated scores
Overview
Score?
UNRATED 0.672
of what a free look can see, on 30 looks
Looks
35
last 16 hr ago
Tools
14
More info
URL
mcp.midasflow.ai/mcp
streamable-http
Says it is
MidasFlow Flow API 1.28.0
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.672 · highest on record 0.8561
Toolsfrom sha256:9754083206…6eb512
| Tool | Schema |
|---|---|
| account Your mf_ key's account view, grouped by `kind`. kind='account' (default)=tier/product, weighted daily quota, used/remaining today, billing, prepaid balance (/v1/account); kind='usa |
input · output |
| analyze LAB / RESEARCH tool — the full MidasFlow AI-Analyst report for a symbol: a synthesized narrative fusing flow, derivatives, levels, regime and signal context into a human-readable r |
input · output |
| backtest LAB / 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 the canonical first-touc |
input · output |
| calc_ev LAB 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-rate (or a score_sy |
input · output |
| get_accuracy Realized track-record (proof of edge, forward-only, Wilson-bounded), grouped by `kind`. kind='accuracy' (default)=source×boost first-TP win-rate + boost lift in the canonical TP1 f |
input · output |
| get_candles Recent OHLCV candle bars for a symbol at a chosen timeframe — the raw price/volume history other tools are derived from. Inspect trend, range, volatility, volume profile, or feed y |
input · output |
| get_context Contextual market reads, grouped by `kind`. kind='regime'=market-regime labels (/v1/regime, market-wide, no symbol needed); 'phase'=move-lifecycle / entry-timing for a symbol (/v1/ |
input · output |
| get_flow Per-symbol order-flow microstructure, grouped by `kind`. kind='vpin'/'all' (default)=full snapshot (CVD trend+divergence, VPIN toxicity, sweep state, buy/whale aggression, /v1/flow |
input · output |
| get_heatmap Liquidation-heatmap matrix for a symbol — price levels where leveraged positions cluster and are likely force-liquidated (price-magnet zones / liquidity pools). Anticipate where a |
input · output |
| get_market Whole-market reads, grouped by `kind`. kind='movers' (default)=top movers ranked (/v1/movers); 'overview'=whole-market roll-up — breadth / direction / activity (/v1/market); 'anoma |
input · output |
| get_orderbook Live order-book snapshot for a symbol — bid/ask walls, book imbalance, spread — FOLDED with support/resistance levels (classic TA fused with cross-exchange book walls + Fibonacci) |
input · output |
| get_signals Pull recent MidasFlow SignalEvent records (newest first). quality='normal' (default) = the bucketed signal log across source families; quality='elite' = the rare highest-conviction |
input · output |
| get_whales Large-player / forced-flow intel, grouped by `kind`. kind='whales' (default)=recent large ('whale') prints for a symbol, banded size+side (/v1/whales); kind='liquidations'=multi-ex |
input · output |
| score_symbol CROWN 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-safety check (is the feed l |
input · output |
Verify it yourself
npx teppi-check https://mcp.midasflow.ai/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2JBJWXE7W7PVZW24VM5X