Midasflow MCP Quickstart is an MCP server with 14 tools an agent can call, among them account, analyze, backtest. It answers at https://mcp.midasflow.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 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.
Agent-native crypto market-data over MCP+REST: order flow, whales, liquidations, calibrated scores
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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='usage'=today's count + cap AND the endpoint_weights map (exact Inputs: kind |
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 read RIGHT NOW. This is the HEAVIEST call (composes many sub- Inputs: symbol, lang |
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-touch TP1 frame (same frame as get_accuracy). Historical market Inputs: symbol, entry, tp, sl, lookback_days, max_hold_min |
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_symbol band) to reason about expectation per trade. Inputs: win_rate_pct, avg_win_pct, avg_loss_pct, stake_usd |
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 frame (/v1/accuracy); kind='outcomes'=realized aggregate trac Inputs: kind, source, window |
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 your own indicators. Market DATA, not advice. A symbol outsid Inputs: symbol, tf, limit |
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/phase, premium+); 'derivatives'=normalized cross-exchange fu Inputs: kind, symbol |
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); 'cvd'=CVD series (/v1/cvd); 'sweeps'=stop-sweep events (/ Inputs: symbol, kind |
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 move may accelerate or stall. Market DATA, not advice; a sym Inputs: symbol |
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); 'anomalies'=per-symbol or cross-market anomaly board (volume_spike Inputs: kind, symbol, limit |
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) so you see resting liquidity AND the level map in one call. Inputs: symbol, include_sr, sr_timeframe |
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 multi-model-consensus crown feed (premium+, lagged anti-fro Inputs: source, quality, symbol, limit, cursor |
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-exchange liquidation prints over a rolling window, long-liq vs Inputs: symbol, kind, window, exchange |
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 live/real-volume/fresh, no phantom ticks). Coverage is presen Inputs: symbol, direction, include_safety |
Every block below points at https://mcp.midasflow.ai/mcp. Pick your client and copy.
claude mcp add --transport http midasflow-mcp-quickstart https://mcp.midasflow.ai/mcp
{
"mcpServers": {
"midasflow-mcp-quickstart": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.midasflow.ai/mcp"]
}
}
}{
"mcpServers": {
"midasflow-mcp-quickstart": {
"url": "https://mcp.midasflow.ai/mcp"
}
}
}{
"servers": {
"midasflow-mcp-quickstart": {
"type": "http",
"url": "https://mcp.midasflow.ai/mcp"
}
}
}{
"context_servers": {
"midasflow-mcp-quickstart": {
"url": "https://mcp.midasflow.ai/mcp"
}
}
}{
"mcpServers": {
"midasflow-mcp-quickstart": {
"serverUrl": "https://mcp.midasflow.ai/mcp"
}
}
}{
"mcpServers": {
"midasflow-mcp-quickstart": {
"url": "https://mcp.midasflow.ai/mcp"
}
}
}name: Midasflow MCP Quickstart
version: 0.0.1
schema: v1
mcpServers:
- name: Midasflow MCP Quickstart
type: streamable-http
url: https://mcp.midasflow.ai/mcp{
"mcpServers": {
"midasflow-mcp-quickstart": {
"httpUrl": "https://mcp.midasflow.ai/mcp"
}
}
}{
"mcpServers": {
"midasflow-mcp-quickstart": {
"type": "http",
"url": "https://mcp.midasflow.ai/mcp"
}
}
}{
"mcpServers": {
"midasflow-mcp-quickstart": {
"url": "https://mcp.midasflow.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.midasflow.ai%2Fmcp&type=streamable_http&id=midasflow-mcp-quickstart&name=Midasflow%20MCP%20Quickstart
It answered our last check on 22 October 2026 in 874 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
14, as returned by the server's own tools/list on 17 September 2026: account, analyze, backtest, calc_ev, get_accuracy, get_candles, get_context, get_flow, and 6 more.
It answered our last check on 22 October 2026 in 874 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.midasflow.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: io.github.midasflowai-lab. Endpoint host: mcp.midasflow.ai. ARD identifier: urn:air:io.github.midasflowai-lab:mcp:midasflow-mcp-quickstart.
First indexed 10 September 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.