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arisloth

Data Puller MCP Server

by arisloth
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Python
Remote

Market Data MCP

A multi-asset, real-time market-data platform served over MCP: stocks & ETFs (AAPL, SPY, GLD) and crypto through one set of analysis tools, combining REST snapshots with live WebSocket ingestion — streaming trades and NBBO quotes feed an in-memory tape store, and each equity print is classified buyer- vs seller-initiated via Lee–Ready (1991) against the prevailing NBBO, producing order-flow analytics (CVD, taker ratio) that bar data alone cannot provide.

  1. MCP server — mcp_server.py exposes ~18 analysis tools an LLM (Claude Desktop / Claude Code) calls on demand: OHLCV, indicators, trend regime, order flow, VWAP/ATR, volume profile, signal confluence. Tool responses are always aggregates — raw ticks never cross the tool boundary, so streaming adds zero token overhead.

  2. CLI — FetchKlines.py writes a compact multi-timeframe text snapshot to disk.

Equities stream from Alpaca (trades + NBBO quotes over WebSocket; bars over REST) and need a free API key — see Multi-asset. Additional venue adapters cover crypto keylessly (Binance, Bybit, Hyperliquid, Coinbase, CoinGecko), including perp derivatives context (funding, open interest, basis). Commodity futures are not covered (use ETF proxies like GLD/USO).

Architecture

Layered so dependencies point downward only — I/O ↘ orchestration ↘ math/presentation ↘ tools:

Path

Layer

Role

streams/

I/O (push)

WebSocket adapters — alpaca (equity trades + NBBO quotes), binance (spot aggTrade), bybit (perp publicTrade) over a shared base client (auto-reconnect with exponential backoff, resubscribe-on-reconnect, idle watchdog, venue keepalive). manager owns a daemon-thread event loop; subscriptions are lazy (first tool call), budgeted, and LRU-evicted (Alpaca IEX allows 1 connection / ~30 symbols).

store.py

State

Thread-safe in-memory tape store: per-symbol trade ring buffers + latest quote. Lee–Ready trade classification (quote rule → tick test) with condition-code filtering (non-regular-way prints excluded from flow). Aggregates out only: CVD, taker ratio, NBBO snapshot, staleness.

providers/

I/O (pull)

One module per REST source — binance, bybit, hyperliquid, coinbase, coingecko, alpaca (equities), plus base (pooled HTTP session with retry) and router (asset-class dispatch). Pure fetch → parsed JSON / normalized rows.

services.py

Orchestration

Composes providers + indicators into ready results (compute_futures_context).

indicators.py

Domain math

Pure functions — OBV, volume ratio, ADX, EMA/ATR/VWAP, volume profile, Fibonacci, trend regime, OI/price quadrant, L/S & funding extremes, perp basis, CVD + divergence, taker ratio, Bollinger/TTM squeeze, correlation/beta + rotation, candlestick patterns, signal confluence. No I/O.

formatting.py

Presentation

Text renderers shared by the CLI and tool summaries. No I/O.

FetchKlines.py

Delivery

CLI snapshot tool.

mcp_server.py

Delivery

MCP (stdio) server exposing the tools; reads REST cold paths and stream hot paths.

requirements.txt

—

requests, mcp[cli], websockets, pytest

Stream data flow: streams/* → store.py (classify + buffer) → mcp_server.py (aggregate out). The REST path stays as the cold path — every tool answers on first call, and the stream upgrades data quality (trade-level flow, live quotes) once warm.

Related MCP server: mcp-coinmarketcap

Setup

python3 -m venv .venv
.venv/bin/pip install -r requirements.txt

Multi-asset (stocks & ETFs)

Crypto works out of the box (keyless). To pull stocks/ETFs (e.g. AAPL, SPY, GLD), set Alpaca credentials in your environment (never commit them):

export APCA_API_KEY_ID=your_key
export APCA_API_SECRET_KEY=your_secret
export ALPACA_FEED=iex      # default; set 'sip' if you have the paid full-tape subscription

  • Routing is automatic: a USDT-suffixed symbol (BTCUSDT) → crypto; anything else (AAPL) → equity via Alpaca. Every price tool also takes asset_class="crypto"|"equity" to force it.

  • Equity-capable tools: get_klines, get_indicators, get_emas, get_vwap, get_atr, get_volume_profile, get_squeeze, get_regime, get_patterns, get_correlation (reference defaults to SPY for equities), get_confluence (equities skip the derivatives votes), and — via the WebSocket stream — get_cvd (live Lee–Ready-classified order flow) and get_orderbook (live NBBO top-of-book). Stream tools subscribe lazily on first call ("warming") and need an open US market to tick.

  • Crypto-only tools (return a clean N/A for equities): get_futures_context, get_funding, get_volume_breakdown, get_market_breadth.

  • IEX feed caveat: the free Alpaca feed reports only IEX volume (~2–3% of the tape), so volume-based fields (volume profile/ratio/OBV, streamed CVD magnitude) are flagged low-confidence for equities; price tools are unaffected. Set ALPACA_FEED=sip for the full consolidated tape.

  • Not available for equities: L2 order-book depth (NBBO top-of-book only) and commodity futures (use ETF proxies like GLD/USO).

CLI usage

.venv/bin/python FetchKlines.py BTCUSDT      # write a snapshot for BTCUSDT
.venv/bin/python FetchKlines.py ZECUSDT
.venv/bin/python FetchKlines.py --clean      # delete all snapshot .txt files
.venv/bin/python FetchKlines.py --clean BTCUSDT  # delete only BTCUSDT snapshots

Writes a file like BTCUSDT_2026-05-29_1430.txt next to the script.

MCP tools

Each tool returns structured fields plus a summary text block, and returns {"error": "..."} on failure instead of crashing.

Tool

Arguments

Returns

get_klines

symbol, interval="1h", limit=50

OHLCV candles + % change over the window

get_orderbook

symbol, exchange="binance" (binance/bybit/hyperliquid; ignored for equities)

Crypto: best bid/ask, spread, 5/10/20-level bid-vs-ask imbalance + pressure. Equities: live NBBO top-of-book (bid/ask + sizes, spread, quote age) from the Alpaca stream

get_futures_context

symbol

funding rate + annualized APR, percentile & extreme flag, next funding, mark/index price, perp basis (contango/backwardation), open interest + 5h trend, OI/price quadrant (long build-up / short build-up / short-covering / long-liquidation), and the long/short account ratio demoted to an extreme-only contrarian flag (mid-range is labeled noise)

get_funding

symbol

Cross-exchange funding (Binance / Bybit / Hyperliquid) normalized to APR, Binance extreme/percentile vs its own history, and the cross-venue APR spread (positioning/arb divergence). Funding is contrarian context, not a timing trigger

get_regime

symbol, interval="4h", limit=300

Trend-regime meta-filter: ADX(14) + price vs 200-EMA → regime (trend_up/trend_down/range/transitional), mode (trend-following/mean-reversion/stand-aside) and a graded conviction (full/reduced/none — reduced means smaller size, not no-trade), with ATR(14) and a one-line playbook. Per-timeframe: gates how to read the other signals on that timeframe

get_confluence

symbol, interval="1h", limit=300

Signal-alignment scorecard — the counterweight to per-tool caveats. Collects the stack's independent directional reads (regime, EMA stack, CVD, taker, VWAP, OI quadrant, funding & L/S contrarian extremes) into one verdict: aligned (≥3 agree, none oppose — the methodology's green light), leaning (majority — reduced size), mixed (genuine disagreement — no edge), no_signal. Names which reads agree/oppose; squeeze + ATR as context

get_indicators

symbol, interval="1h", limit=60

OBV, CVD (+trend & price divergence), taker buy/sell ratio, volume ratio, ADX(14) with +DI/-DI framed as a regime gate (DI actionable only when ADX≥25), TTM squeeze + Bollinger width, candlestick patterns (confirmation-only), Fibonacci retracements

get_patterns

symbol, interval="1h", limit=192

Candlestick patterns on the latest bar (hammer, shooting star, doji, marubozu, engulfing, inside bar) scored as confirmation only — each gets a verdict (confirmed/weak/mixed/conflicting/unconfirmed/neutral) from CVD + taker flow + whether it sits at a volume-profile level. Never a standalone signal

get_cvd

symbol, interval="15m", limit=96

Crypto: Cumulative Volume Delta on perp + spot with trend, taker ratio, CVD-vs-price divergence, and the spot-vs-perp conviction read (perp-led = fragile/leverage; spot-led = higher-conviction), plus live trade-level flow from the WebSocket tape (true aggressor side per print, 5-min window; perp via Bybit, spot via Binance). Equities: live CVD/taker from the Alpaca stream, each print classified via Lee–Ready against the prevailing NBBO (bars carry no taker side — stream-only). First call subscribes and warms in seconds

get_squeeze

symbol, interval="1h", limit=100, period=20

TTM-style volatility squeeze (Bollinger inside Keltner) + Bollinger band width with percentile and compressed/normal/expanded state — breakout-timing filter, non-directional

get_emas

symbol, interval="1h", limit=500

20/50/200 EMAs + trend-stack label (bullish/bearish/mixed/n/a)

get_volume_breakdown

symbol

24h USD volume: Binance spot + Coinbase + cross-exchange aggregate (via CoinGecko) with shares, explicit cross-venue perp volume (Binance / Bybit / Hyperliquid), perp/spot ratio + leverage-led vs spot-led read, thin flag — US/institutional divergence on majors, true total on thin alts

get_vwap

symbol, interval="5m", limit=288

Session VWAP (resets at 00:00 UTC) + window VWAP, each with 1σ/2σ bands, plus a long/short/neutral bias vs current close

get_atr

symbol, interval="30m", limit=100, period=14, account_equity=None, risk_pct=1.0, stop_atr_mult=1.5

ATR(14) and example 1×/1.5× ATR stop distances for long and short. Pass account_equity to also get an ATR-normalized position size (risk risk_pct% across a stop_atr_mult×ATR stop) — for stop placement and sizing, not direction

get_volume_profile

symbol, interval="15m", limit=192, bins=24

POC, value area (70%), top 5 high-volume nodes, and whether the current close sits inside the value area

get_correlation

symbol, interval="1h", limit=200, reference=None (auto: BTCUSDT/SPY)

Rolling correlation + beta of a symbol vs its reference, a recent-half correlation with a decoupling flag, and a gating read (high corr → the reference's regime sets direction, symbol specifics pick entries/levels; low → symbol-specific edge valid)

get_market_breadth

(none)

Total market cap + 24h change, TOTAL2 (ex-BTC), BTC/ETH/stablecoin dominance with BTC.D direction, ETH/BTC bellwether, and a rotation read (btc-dominant / alt-rotation / risk-off) for higher-timeframe alt bias

symbol is a crypto pair like BTCUSDT, ETHUSDT (quote in USDT) or — for the equity-capable tools — a stock/ETF ticker like AAPL, SPY, GLD (needs Alpaca creds; see Multi-asset).

Try it interactively

.venv/bin/mcp dev mcp_server.py

Opens the MCP Inspector in your browser; call each tool and inspect the responses.

Use with Claude Desktop

  1. Open Claude Desktop → Settings → Developer → Edit Config. This opens claude_desktop_config.json (on macOS it lives at ~/Library/Application Support/Claude/claude_desktop_config.json).

  2. Add this server under mcpServers (use absolute paths):

    {
  "mcpServers": {
    "market-data-mcp": {
      "command": "/absolute/path/to/binancedatapuller/.venv/bin/python",
      "args": ["/absolute/path/to/binancedatapuller/mcp_server.py"]
    }
  }
}

    If the file already has other servers, add "market-data-mcp" as another key inside the existing mcpServers object rather than replacing it.

  3. Fully quit and reopen Claude Desktop (the config is read on startup).

  4. The tools appear under the tools/plug icon in the chat input. Then just ask, e.g.:

    • "Check the funding rate and order-book imbalance for ETHUSDT."

    • "Pull 4h candles and the ADX for BTCUSDT and tell me the trend."

    Claude calls the relevant tools and reasons over the fresh data it gets back.

Use with Claude Code (alternative)

claude mcp add market-data-mcp -- \
  /absolute/path/to/binancedatapuller/.venv/bin/python \
  /absolute/path/to/binancedatapuller/mcp_server.py

Notes

  • Two data paths: REST is fetched on demand per tool call (the cold path — every tool answers immediately); the WebSocket tape is a hot path that warms on first use and upgrades flow tools to trade-level data. Raw ticks stay inside the process — tools return aggregates only, so streaming adds no LLM token overhead.

  • Stream connections auto-reconnect with exponential backoff and resubscribe; a symbol's subscription is LRU-evicted past the per-venue budget.

  • The perp trade tape streams from Bybit rather than Binance futures: Binance's fstream data plane is silently filtered on some networks (handshake succeeds, no frames), and the aggressor-flow signal is equivalent.

  • The most recent candle may be in progress (incomplete), same as the raw exchange data.

  • Binance public endpoints are rate-limited; on-demand tool calls stay well within limits.

  • Crypto data is from keyless public APIs. Two signal classes remain out of scope:

    • Liquidations — not exposed by keyless public REST; now feasible via the stream layer (Bybit publishes liquidations over WebSocket) — see roadmap. Cascade risk is meanwhile readable from the OI quadrant, funding extremes, and ATR.

    • On-chain flows (exchange netflows, stablecoin/whale activity) — require a paid/keyed provider (Glassnode/CryptoQuant/Nansen) with no price-derivable proxy.

Roadmap

  • L2 order-book replica for crypto via the exchange diff-depth protocol (snapshot + buffered-delta sync) — true depth dynamics instead of REST snapshots.

  • Liquidation stream (Bybit WS allLiquidation) as volatility/cascade context.

  • Market-calendar awareness — distinguish "market closed" from "stream stale" for equities (currently reported via data_age_s).

  • Signal-calibration harness — persist tool verdicts (confluence, regime, pattern confirmations) and score them against forward returns to tune thresholds on data.

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