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…
What it can do
- 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
What data it sees
Do you need an account
No: the server works without sign-in
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.
How to connect
How to connect LiquidVision — Crypto Derivatives Data to Claude
The server address to paste into Claude settings:
https://derivatives--liquidvision.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect LiquidVision — Crypto Derivatives Data to ChatGPT
The server address to paste into ChatGPT settings:
https://derivatives--liquidvision.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect LiquidVision — Crypto Derivatives Data to Cursor
The server address to paste into Cursor settings:
https://derivatives--liquidvision.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (27)
Raw names from tools/list. Only developers need these.
| 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 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_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); 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_cascades | Liquidation 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_dispersion | 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 (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_settlements | 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_open_interest | Latest open interest (contracts and USD) per exchange/symbol. |
| get_open_interest_history | Open interest time series for a symbol (e.g. BTCUSDT) over the last `minutes` (5-10080). |
| get_funding_history | Bucketed funding-rate history per exchange for a symbol (e.g. BTCUSDT) over the last `minutes` (5-20160). |
| get_long_short_ratio | Latest global long/short account ratio per exchange/symbol. |
| get_liquidations | Recent liquidation events (side, price, qty) across exchanges over the last `minutes` (1-1440). side=long means a long position was liquidated. |
| get_liquidations_summary | Aggregated 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_board | 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_cash_flows | 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_arbitrum_perps | 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_top_traders | 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. |
| get_token_unlocks | Upcoming token unlock events for pool coins, nearest first: next unlock timestamp and token amount per public vesting schedule. |
| get_stocks | Crypto-related equities (COIN, MSTR, miners) and spot BTC/ETH ETF quotes: price, day change %, range, volume. ~15-min delayed. |
| get_liquidation_map | Modeled 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_map | MEASURED (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_heatmap | Modeled liquidation heatmap: estimated cluster intensity per price bin over time (grid[time][bin]) with the price path. range: 12h | 1d | 3d | 7d. |
| get_orderbook_heatmap | Order book liquidity heatmap grid (time x price buckets with resting quantity) for one exchange (binance/bybit/okx) and symbol (e.g. BTCUSDT). |
| get_market_brief | 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 — ideal input for your own reasoning. |
| explain_market | 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 9 CEX venues (CEX + Hyperliquid) plus GMX. |
| get_footprint | Order-flow footprint for a core perp symbol: per candle x price bin, taker buy/sell USD volume and delta (Binance + Bybit trade streams). |
| get_cvd | Cumulative volume delta split by trade size (retail <$10K, mid <$100K, large <$1M, whale >$1M). Whale-vs-retail divergence = smart-money signal. |
| get_spoofing | 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. |