LiquidVision — Crypto Derivatives Data

Exchange-exact crypto derivatives data for AI agents and trading bots: open interest, funding, liquidations and order flow across 13 venues (Binance, Bybit…

От сообществаРаботаетБез входаГлобальныйБесплатноМожет изменять данные

Что умеет

  • Get Funding Rates: Latest perpetual funding rates and mark prices for every tracked exchange/symbol pair. Positive rate = longs pay shorts.
  • Get Microstructure: 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 enoug
  • Get Positioning Regime: 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); pri

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

Exchange-exact crypto derivatives data for AI agents and trading bots: open interest, funding, liquidations and order flow across 13 venues (Binance, Bybit, OKX, Hyperliquid, GMX on Arbitrum and more), served exactly as each exchange publishes them. Server-computed views: liquidation cascades, positioning regime, cross-venue funding dispersion, microstructure, a measured Hyperliquid liquidation map and 2 years of settled funding history. No API key needed.

Как подключить

Как подключить LiquidVision — Crypto Derivatives Data к Claude

Адрес сервера, который нужно вставить в настройках Claude:

https://derivatives--liquidvision.run.tools

  1. Откройте Claude (сайт claude.ai или приложение для компьютера).
  2. Перейдите в Настройки → Коннекторы (в английском интерфейсе: Settings → Connectors).
  3. Нажмите Добавить пользовательский коннектор (Add custom connector).
  4. Вставьте адрес сервера, скопированный ниже, в поле URL удалённого MCP-сервера и нажмите Добавить.
  5. В чате нажмите + → Коннекторы и включите новый коннектор.

Пользовательские коннекторы доступны на тарифах Free, Pro, Max, Team и Enterprise. На Free можно добавить только один. В Team и Enterprise коннектор сначала добавляет владелец организации в Настройки организации → Коннекторы.

Авторизация

После нажатия Добавить откроется окно входа в сервис. Войдите под своим аккаунтом и подтвердите доступ. Пароль Claude не видит.

Как подключить LiquidVision — Crypto Derivatives Data к ChatGPT

Адрес сервера, который нужно вставить в настройках ChatGPT:

https://derivatives--liquidvision.run.tools

  1. Откройте ChatGPT в браузере (chatgpt.com). Нужен тариф Plus, Pro, Business, Enterprise или Edu.
  2. Один раз включите режим разработчика: Настройки → Приложения → Дополнительные настройки → Режим разработчика (Settings → Apps → Advanced settings → Developer mode).
  3. Откройте Настройки → Коннекторы и нажмите Создать (Create).
  4. Заполните форму: Название (любое), Описание (одна фраза, что делает сервис), URL MCP-сервера (скопируйте ниже).
  5. В поле Аутентификация выберите OAuth, если сервис требует вход, иначе Нет. Нажмите Создать.
  6. В новом чате откройте + → Приложения/Коннекторы и включите коннектор.

Название раздела у OpenAI менялось (Connectors → Apps/Plugins). Если пункт называется иначе, ищите «режим разработчика» в настройках. В рабочих пространствах Business/Enterprise администратор должен разрешить пользовательские коннекторы.

Авторизация

При первом использовании ChatGPT откроет окно входа в сервис. Войдите и подтвердите доступ.

Как подключить LiquidVision — Crypto Derivatives Data к Cursor

Адрес сервера, который нужно вставить в настройках Cursor:

https://derivatives--liquidvision.run.tools

Быстрый способ: нажмите кнопку Открыть в Cursor ниже, Cursor сам предложит добавить сервер.

Вручную:

  1. В Cursor откройте Settings → Cursor Settings → MCP и нажмите Add new global MCP server.
  2. Вставьте JSON, скопированный ниже, в открывшийся файл ~/.cursor/mcp.json (для одного проекта: .cursor/mcp.json в корне проекта).
  3. Сохраните файл. Сервер появится в списке MCP; при необходимости пройдите авторизацию по кнопке рядом с ним.

Авторизация

Если сервис требует вход, рядом с сервером в списке MCP появится кнопка авторизации.

Список инструментов сервера (27)

Технические названия из tools/list. Нужны только разработчикам.

get_funding_ratesLatest perpetual funding rates and mark prices for every tracked exchange/symbol pair. Positive rate = longs pay shorts.
get_microstructureCross-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 venues price the same asset - plus a per-minute spread history. Does NOT answer "what moves price 0.5%": the streams only carry the innermost levels, so that would be extrapolation, not measurement.
get_positioning_regimePer-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 regime) plus per coin the price change, OI change and current OI over the window.
get_liquidation_cascadesLiquidation cascades as discrete events rather than a raw feed. Each event: coin, which side broke, when it started, how long it ran, total and peak-minute USD, how many multiples of that coin's own normal minute it was, the move in cross-venue median mark price during it, and what price did in the hour after. Also returns market_wide: minutes when three or more unrelated coins cascaded together.
get_funding_dispersionCoins 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 (1h / 4h / 8h), and the ranking uses the median rate over `window` minutes rather than the latest print, which is noisy for hourly contracts.
get_funding_settlementsSettled 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_open_interestLatest open interest (contracts and USD) per exchange/symbol.
get_open_interest_historyOpen interest time series for a symbol (e.g. BTCUSDT) over the last `minutes` (5-10080).
get_funding_historyBucketed funding-rate history per exchange for a symbol (e.g. BTCUSDT) over the last `minutes` (5-20160).
get_long_short_ratioLatest global long/short account ratio per exchange/symbol.
get_liquidationsRecent liquidation events (side, price, qty) across exchanges over the last `minutes` (1-1440). side=long means a long position was liquidated.
get_liquidations_summaryAggregated market-wide liquidation stats over the last `minutes`: 1h/4h/12h/24h totals split long/short, per-symbol and per-exchange breakdowns, and a 30-min time series.
get_oi_boardPer-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_cash_flowsDerivatives cash flow per exchange: net USD into/out of open interest over 1h/4h/24h windows, per core symbol. Positive = money flowing in.
get_arbitrum_perpsArbitrum 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_top_tradersTop 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.
get_token_unlocksUpcoming token unlock events for pool coins, nearest first: next unlock timestamp and token amount per public vesting schedule.
get_stocksCrypto-related equities (COIN, MSTR, miners) and spot BTC/ETH ETF quotes: price, day change %, range, volume. ~15-min delayed.
get_liquidation_mapModeled liquidation map for a perp symbol (e.g. BTCUSDT): estimated liquidation-cluster notional per price bin, split by leverage tier (10x/25x/50x/100x) and by exchange (binance/bybit/okx or 'all'), plus cumulative long/short curves from the current price outward. range: 12h | 1d | 3d | 7d.
get_hl_liquidation_mapMEASURED (not modeled) liquidation map for Hyperliquid: leveraged positions of the ~1000 largest accounts binned by the exchange-reported liquidation price, long/short notional per bin, cumulative curves and the largest positions. Partial coverage: large accounts only. range: 12h | 1d | 3d | 7d | max (±100%, recommended: large accounts run low leverage).
get_liquidation_heatmapModeled liquidation heatmap: estimated cluster intensity per price bin over time (grid[time][bin]) with the price path. range: 12h | 1d | 3d | 7d.
get_orderbook_heatmapOrder book liquidity heatmap grid (time x price buckets with resting quantity) for one exchange (binance/bybit/okx) and symbol (e.g. BTCUSDT).
get_market_briefDeterministic 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 — ideal input for your own reasoning.
explain_marketAI 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 9 CEX venues (CEX + Hyperliquid) plus GMX.
get_footprintOrder-flow footprint for a core perp symbol: per candle x price bin, taker buy/sell USD volume and delta (Binance + Bybit trade streams).
get_cvdCumulative volume delta split by trade size (retail <$10K, mid <$100K, large <$1M, whale >$1M). Whale-vs-retail divergence = smart-money signal.
get_spoofingOrder-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.