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kukapay/crypto-orderbook-mcp

by Various

An MCP server that analyzes order book depth and imbalance across major crypto exchanges.

K

MCP

kukapay/crypto-orderbook-mcp

Added 1 June 2026

Overview

An MCP server that analyzes order book depth and imbalance across major crypto exchanges. It connects to exchange APIs to compute liquidity concentration and bid-ask volume asymmetry. Designed for integration into trading systems or analysis pipelines.

Best for

Best for
Developers building crypto trading bots or analysis tools that need cross-exchange order book intelligence

Use cases

  • Assess liquidity depth before executing large orders
  • Detect order book imbalance to gauge short-term sentiment
  • Identify support and resistance levels from clustered orders

How to use

Install

uv sync

Tools exposed

  • calculate_orderbook
  • compare_orderbook

Tested with

Claude Desktop

Example client config

[object Object]

Notes

An MCP server that analyzes order book depth and imbalance across major crypto exchanges. It connects to exchange APIs to compute liquidity concentration and bid-ask volume asymmetry. Designed for integration into trading systems or analysis pipelines.

17 stars on GitHub. Last updated 2025-05-07. Licensed MIT.

Use cases

  • Assess liquidity depth before executing large orders
  • Detect order book imbalance to gauge short-term sentiment
  • Identify support and resistance levels from clustered orders

Pros

  • Aggregates order book data from multiple major exchanges
  • Provides quantitative depth and imbalance metrics for algorithmic strategies
  • Open-source Python implementation with MCP protocol for easy integration

Cons

  • Low GitHub star count (17) indicates limited adoption or maturity
  • Requires deploying and maintaining an MCP server
  • May lack real-time streaming or cover only a subset of exchanges

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Aggregates order book data from multiple major exchanges
  • Provides quantitative depth and imbalance metrics for algorithmic strategies
  • Open-source Python implementation with MCP protocol for easy integration

Cons

  • Low GitHub star count (17) indicates limited adoption or maturity
  • Requires deploying and maintaining an MCP server
  • May lack real-time streaming or cover only a subset of exchanges
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