MCP server

LiquidVision — Crypto Derivatives Data Official

app.liquidvision/derivatives

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Exchange-exact crypto derivatives data for AI agents: OI, funding, liquidations, 13 venues, 42 tools

Website Source

At a glance

Type

MCP server

Publisher

liquidvision.app (verified by the MCP Registry)

Status

Working at last check

Tools

42

Token cost

About 8,066 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http derivatives https://liquidvision.app/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.derivatives]
url = "https://liquidvision.app/mcp"

Gemini CLI

{"mcpServers":{"derivatives":{"httpUrl":"https://liquidvision.app/mcp"}}}

Cursor

{"mcpServers":{"derivatives":{"url":"https://liquidvision.app/mcp"}}}

VS Code

{"servers":{"derivatives":{"type":"http","url":"https://liquidvision.app/mcp"}}}

Antigravity

agy mcp add derivatives https://liquidvision.app/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"derivatives","server_url":"https://liquidvision.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"derivatives","server_url":"https://liquidvision.app/mcp"}

Tools

• create_alert ~360 tokens
  Subscribe an HTTPS URL to push alerts instead of polling (Pro: 3, Bot: 20 subscriptions). type='cascade': a liquidation cascade just ended, over min_usd and x_normal times the coin's normal minute. type='hl_near_liq': a Hyperliquid whale position over min_usd within max_dist_pct of its l
• delete_alert Deletes data · ~216 tokens
  Permanently delete one webhook alert subscription. DESTRUCTIVE and not reversible: deliveries to its URL stop at once and its signing secret is discarded (create_alert issues a new one). Only a subscription owned by the caller's API key can be deleted; an id belonging to another key retu
• explain_market ~154 tokens
  AI risk-intelligence answer: ask e.g. 'Why did BTC drop 4%?' and get a concise grounded explanation (liquidation cascades, funding extremes, where the positions sit, next risk zone) computed from live derivatives data across 13 venues (CEXs, Hyperliquid and GMX).
• get_accuracy ~128 tokens
  [measured] The public accuracy audit: our open interest and funding vs Binance, Bybit, OKX and Hyperliquid's own endpoints, sampled every 10 min (diff %, snapshot age, 24h mean/max), plus how the modeled liquidation map scored against realized liquidations. Read this before trusting any
• get_api_key ~229 tokens
  Get a free LiquidVision API key for this agent's owner, by email, without a browser. Works for a NEW email only (an existing account's key is never returned; its owner sees it at liquidvision.app/data). Use the key as X-API-Key on REST or on this MCP endpoint: 120 req/min instead of the
• get_arbitrum_perps ~104 tokens
  Arbitrum perps board: GMX v2 open interest per coin and its share of every tracked venue, GMX funding next to the CEX median (8h basis), on-chain liquidations over 24h. Ask this for 'how is Arbitrum positioned vs CEXs'.
• get_cash_flows ~77 tokens
  Derivatives cash flow per exchange: net USD into/out of open interest over 1h/4h/24h windows, per core symbol. Positive = money flowing in.
• get_cvd ~161 tokens
  Cumulative volume delta split by trade size (retail <$10K, mid <$100K, large <$1M, whale >$1M). Whale-vs-retail divergence is the usual smart-money reading; buckets are per published row and only Binance aggregates taker orders, so compare buckets within one exchange (exchange=binance) r
• get_footprint ~225 tokens
  [measured] Footprint chart data: for each candle, taker BUY and taker SELL volume in USD and the trade count at each of 30 price levels, from the archived trade streams of Binance, Bybit, OKX, Bitget and Gate. Use it to see at which prices aggressive buyers or sellers were absorbed; for
• get_funding_arbitrage ~276 tokens
  [measured] Funding carry screener on REALIZED numbers: for each coin, the venue pair a desk would put on (short where funding is richest, long where it is cheapest) and what that pair actually earned from funding over the last 7 and 30 days from our hourly archive, annualized; positive_s
• get_funding_dispersion ~224 tokens
  Coins ranked by how far funding disagrees ACROSS exchanges. For each coin: the spread in APR points between the venue charging the most and the one paying the most, plus which venue to hold the long on and which to hold the short on. Every leg is annualized with its own settlement cycle
• get_funding_history ~209 tokens
  [measured] Funding rate over time for one contract, one row per venue per time bucket: ts (ms), exchange, funding_rate (per settlement interval, a fraction), mark_price and funding_hours (that contract's interval: 1, 4 or 8). Annualize as rate * 8760 / funding_hours. This is the LIVE pre
• get_funding_rates ~74 tokens
  Latest perpetual funding rates and mark prices for every tracked exchange/symbol pair. Positive rate = longs pay shorts.
• get_funding_settlements ~158 tokens
  Settled funding rates, one row per settlement, from Binance and Bybit history — up to 730 days for any pool coin (e.g. BTCUSDT). The backtest series; get_funding_history is the live 10-second archive since July 2026.
• get_history ~350 tokens
  [measured] Historical rows as CSV, for backtests. dataset: liquidations | funding_settlements (since 2024-09) | funding_hourly | open_interest_hourly | hl_positions (Hyperliquid whale positions with liquidation prices). start/end are ISO dates (UTC). Without a key or on the free tier onl
• get_hl_account ~182 tokens
  [measured] One Hyperliquid account by address: live positions (size, entry, mark, liquidation price, distance to liquidation, leverage, unrealized PnL), account value, and its archived position snapshots. History depth: 24 h free, 31 days Pro, everything since 2026-09-27 on Bot (key from
• get_hl_builder_markets ~182 tokens
  [measured] Perp markets deployed on Hyperliquid by third parties (HIP-3 builder dexs): equity indices, single stocks, commodities and pre-IPO names such as xyz:SP500 or xyz:GOLD. For each dex: its markets (coin named dex:COIN), open interest in USD (one side), 24h volume, mark price, hou
• get_hl_liquidation_map ~259 tokens
  [measured, RISK AHEAD, Hyperliquid] REAL open positions on Hyperliquid binned by the liquidation price the exchange itself reports: the 10,000 largest accounts plus every account that traded since the reader started (~10,000 accounts, ~40-45% of venue open interest, stated in covered_lon
• get_hl_whales ~262 tokens
  [measured] Leveraged positions of the 10,000 largest Hyperliquid accounts with the exchange-reported liquidation price, closest to liquidation first (sort='value' = largest first). Filters: coin (BTC), side (long|short), min_usd, max_dist_pct. Each row carries the account address; pass i
• get_lighter_liquidation_map ~243 tokens
  [measured, RISK AHEAD, Lighter] REAL open positions on Lighter (zk perp DEX; crypto plus equity indices, stocks, forex, commodities) binned by Lighter's own liquidation price. Not a model. Use this for Lighter; get_hl_liquidation_map for Hyperliquid; get_liquidation_map (modeled) for the
• get_lighter_whales ~255 tokens
  [measured] Leveraged positions on Lighter with the exchange-reported liquidation price, closest to liquidation first (sort='value' = largest first). Filters: coin (BTC), side (long|short), min_usd, max_dist_pct. address is the Lighter account index, l1_address the wallet. Snapshot age is
• get_liquidation_cascades ~266 tokens
  [measured, PAST] Liquidation CASCADES as discrete events: bursts of liquidations detected against each coin's own 7-day normal minute. Use it for "when did forced selling snowball and what did price do"; not for totals (get_liquidations_summary), raw orders (get_liquidations) or open pos
• get_liquidation_heatmap ~296 tokens
  [modeled, RISK AHEAD, CEX, over time] The same estimated CEX map as get_liquidation_map but as a time series: grid[t][b] is the estimated USD of leveraged positions with their liquidation price in price bin b at time cols[t] (ms), bins[b] the bin's centre price (240 bins fitted to the tr
• get_liquidation_map ~354 tokens
  [modeled, RISK AHEAD, CEX, now] ESTIMATED open leveraged positions on Binance/Bybit/OKX per price bin at their liquidation price, from candles and open-interest deltas (the CEXs do not publish positions). Current snapshot only; for its evolution over time use get_liquidation_heatmap; for
• get_liquidations ~274 tokens
  [measured, PAST] Individual liquidation ORDERS that already happened (side, price, qty), newest first, at most `limit` rows (max 2000). This is the raw feed: use it when you need the orders themselves. For totals use get_liquidations_summary; for cascades as events use get_liquidation_ca
• get_liquidations_summary ~222 tokens
  [measured, PAST] TOTALS of liquidations that already happened: rekt (USD liquidated in the last 1h/4h/12h/24h, split long/short), by_symbol and by_exchange over the last `minutes`, and series (30-minute buckets). The one to call for "how much was liquidated"; it does not return individua
• get_long_short_ratio ~56 tokens
  Latest global long/short account ratio per exchange/symbol.
• get_market_brief ~153 tokens
  Deterministic market brief for a perp symbol: 24h liquidations (totals, by exchange), current funding + 24h extremes per venue, OI by venue with 1h/4h/24h changes, net position flows, modeled liquidation risk zones above/below price, and top-trader positioning. Free, no LLM involved —
• get_microstructure ~205 tokens
  Cross-venue order book microstructure for BTC, ETH and SOL. Per venue: spread in bps, immediately-executable depth in USD and the bid share of it, measured over a band narrow enough that every venue's stream captured it, each venue around its own mid. Also the basis - how far apart
• get_oi_board ~113 tokens
  Per-venue open-interest ranking for a perp symbol (e.g. BTCUSDT): OI in coins and USD, market share %, 1h/4h/24h OI change % and USD flow, and OI / 24h-volume ratio per exchange, plus market totals.
• get_open_interest ~55 tokens
  Latest open interest (contracts and USD) per exchange/symbol.
• get_open_interest_history ~205 tokens
  [measured] Open interest over time for one contract, one row per venue per time bucket: ts (ms), exchange, oi (coins, one side), oi_usd. Use it to see how positioning built up or unwound; for the current snapshot with shares and 1h/4h/24h changes use get_oi_board, for every contract at o
• get_orderbook_heatmap ~237 tokens
  [measured] Resting limit orders over time on ONE exchange: cells of (time bucket, price bucket, quantity in coins) from archived order-book snapshots, with price_min, price_max, price_step and time_step (seconds) describing the grid. Shows where bid and ask walls stood and when they were
• get_positioning_regime ~171 tokens
  Per-coin positioning regime from price direction crossed with open interest. price up + OI up = new longs; price up + OI down = short covering (a rally with no new buyers); price down + OI up = new shorts; price down + OI down = long flush. Returns a market summary (coins and net OI per
• get_spoofing ~145 tokens
  Order-book wall lifecycle heuristic: large levels classified as active_wall / absorbed / pulled_wall / suspected_spoof based on whether trades executed into them before they vanished.
• get_stocks ~71 tokens
  Crypto-related equities (COIN, MSTR, miners) and spot BTC/ETH ETF quotes: price, day change %, range, volume. ~15-min delayed.
• get_token_unlocks ~76 tokens
  Upcoming token unlock events for pool coins, nearest first: next unlock timestamp and token amount per public vesting schedule.
• get_tokenized_stocks ~215 tokens
  [measured] Tokenized stocks, indices, ETFs, commodities, FX, rates and pre-IPO names traded as PERPS on DEXs (Lighter and Hyperliquid builder markets): one row per underlying (NVDA, TSLA, S&P 500, Gold, EUR/USD, Anthropic...) with every venue's mark, open interest, 24 h volume, funding A
• get_top_traders ~93 tokens
  Top lead traders (OKX copy trading, public data): total PnL, win rate, AUM, copiers, live open positions (pair, side, leverage, entry, uPnL) and recently closed trades with realized PnL.
• list_alerts ~219 tokens
  The webhook alert subscriptions that belong to the caller's API key (read-only): id, type, url, filters (symbol, min_usd, x_normal, max_dist_pct) and delivery health: last_status (HTTP code or error of the last delivery), fails (consecutive failures; a subscription pauses itself at 20) a
• list_history_packages ~206 tokens
  [measured] Monthly Parquet history packages for backtests: liquidations (11 venues), funding hourly and settlements, open interest hourly, Hyperliquid and Lighter positions with liquidation prices — one file per dataset per month since 2026-07 with rows, bytes and sha256. Each entry has `url
• list_markets ~106 tokens
  [measured] What exists: every venue we track and, for each, the contracts with live open interest right now (BASEUSDT symbols), plus the top-100 coin pool. Call this first when unsure which symbol or exchange string another tool accepts.

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