mcpField
L
LiquidVision — Crypto Derivatives Data

LiquidVision — Crypto Derivatives Data

VerifiedFeaturedRemote
liquidvision.appFinance0
DocsRepositoryVisit website

About LiquidVision — Crypto Derivatives Data

LiquidVision is a read-only remote MCP server for AI agents and trading bots that need exchange-reported crypto derivatives data. It combines raw market feeds across 13 venues with computed market views and account-position data for Hyperliquid and Lighter.

Key features

  1. 01Open interest and funding across 13 venues
  2. 02Computed positioning and liquidation views
  3. 03Hyperliquid and Lighter position data
  4. 04Read-only history exports and alerts
  5. 05Exchange data age and accuracy checks

Use cases

  1. 01Compare funding and open interest across venues
  2. 02Review liquidation cascades and market positioning
  3. 03Inspect Hyperliquid or Lighter liquidation exposure
  4. 04Export historical data for backtests

MCP support

Exposes 39 read-only tools through a remote Streamable HTTP MCP server at https://liquidvision.app/mcp. MCP clients can retrieve market data, computed views, account-position information, history and alerts.

#crypto#derivatives#trading#liquidations#funding-rates#open-interest#hyperliquid#binance#finance

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://liquidvision.app/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://liquidvision.app/mcpAuth required

Tools

42

This tool takes no parameters.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.