Binance MCP Server 🚀

Name: Binance MCP Server 🚀
Author: SayantiPalKCMS

@SayantiPalKCMS

About Binance MCP Server 🚀

Binance MCP Server is a robust tool that allows AI agents to connect with the Binance cryptocurrency exchange. It offers essential trading tools and market data access for efficient trading. 🐙💻

#agent #finance #trading #cryptocurrency #quantitative-finance #binance #binance-api #crypto-bot #mcp-server #modelcontextprotocol #fastmcp

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "binance-mcp-server-sayantipalkcms": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

Tools

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Overview

What is Binance MCP Server?

The Binance MCP Server provides unofficial tools and a server implementation for Binance’s Model Context Protocol (MCP). It is designed to help developers build crypto trading AI agents efficiently.

How to use Binance MCP Server?

Clone the repository, install dependencies (Python 3.7+ and pip install -r requirements.txt), then download the latest release from the GitHub Releases page. Edit the configuration file with your Binance API keys, trading pair, and strategy, and run python main.py to start the server.

Key features of Binance MCP Server

Easy integration with Binance’s API
Real-time market data access
Customizable trading agents
Robust framework for trading bots
Community support for developers

Use cases of Binance MCP Server

Build and deploy crypto trading bots
Implement and test trading strategies such as mean reversion
Access real-time Binance market data
Create customizable AI-powered trading agents

FAQ from Binance MCP Server

Do I need Binance API keys to use the server?

Yes, you must provide your Binance API key and secret in the configuration file.

What are the runtime prerequisites?

Python 3.7 or higher and pip are required. Install all dependencies using the provided requirements.txt.

Is this an official Binance product?

No, this project is an unofficial community-driven implementation.

How can I customize my trading strategy?

Modify the strategy field in the configuration file and implement your own logic in a new Python file using the server’s provided functions and classes.