crypto-orderbook-mcp

crypto-orderbook-mcp

crypto-orderbook-mcp

Category
Visit Server

Tools

calculate_orderbook

Calculate the order book depth and imbalance for a given trading pair on a specified exchange. Args: exchange_id: The exchange identifier (e.g., 'binance', 'kraken') symbol: The trading pair (e.g., 'BTC/USDT') depth_percentage: Percentage range from mid-price to calculate depth and imbalance (default: 1.0%) Returns: Dictionary containing bid depth, ask depth, imbalance, mid-price, and timestamp.

compare_orderbook

Compare order book depth and imbalance for a trading pair across multiple exchanges, returning a Markdown table. Args: symbol: The trading pair (e.g., 'BTC/USDT') depth_percentage: Percentage range from mid-price to calculate depth and imbalance (default: 1.0%) exchanges: List of exchange IDs to compare (default: all supported exchanges) Returns: String containing a Markdown table with exchanges as rows and bid/ask depths and imbalance as columns.

README

Crypto Orderbook MCP

An MCP server that analyzes order book depth and imbalance across major crypto exchanges, empowering AI agents and trading systems with real-time market structure insights.

License Python Status

Features

  • Order Book Metrics: Calculate bid/ask depth and imbalance for a specified trading pair on a given exchange.
  • Cross-Exchange Comparison: Compare order book depth and imbalance across multiple exchanges in a unified Markdown table.
  • Supported Exchanges: Binance, Kraken, Coinbase, Bitfinex, Okx, Bybit

Installation

Prerequisites

  • Python 3.10 or higher
  • uv (Python package and project manager)

Setup

  1. Clone the Repository

    git clone https://github.com/kukapay/crypto-orderbook-mcp.git
    cd crypto-orderbook-mcp
    
  2. Install Dependencies

    Use uv to install the required packages:

    uv sync
    
  3. Configure the MCP Client(Claude Desktop)

    "mcpServers": { 
      "crypto-orderbook-mcp": { 
        "command": "uv", 
        "args": [ "--directory", "/absolute/path/to/crypto-orderbook-mcp", "run", "main.py" ]
      } 
    }
    

Usage

The server provides two main tools:

  1. calculate_orderbook: Computes bid depth, ask depth, and imbalance for a trading pair on a specified exchange.
  2. compare_orderbook: Compares bid depth, ask depth, and imbalance across multiple exchanges, returning a Markdown table.

Example: Calculate Order Book Metrics

Prompt: "Calculate the order book metrics for BTC/USDT on Binance with a 1% depth range."

Expected Output (JSON object):

{
  "exchange": "binance",
  "symbol": "BTC/USDT",
  "bid_depth": 123.45,
  "ask_depth": 234.56,
  "imbalance": 0.1234,
  "mid_price": 50000.0,
  "timestamp": 1698765432000
}

Example: Compare Order Book Across Exchanges

Prompt: "Compare the order book metrics for BTC/USDT across Binance, Kraken, and OKX with a 1% depth range."

Expected Output (Markdown table):

| exchange | bid_depth | ask_depth | imbalance |
|----------|-----------|-----------|-----------|
| binance  |    123.45 |    234.56 |    0.1234 |
| kraken   |     89.12 |    178.34 |    0.0987 |
| okx      |    145.67 |    256.78 |    0.1345 |

License

This project is licensed under the MIT License. See the LICENSE file for details.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured