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Binance MCP Server

MCP Server

Integrate Binance trading into Claude Code with ease

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Updated Dec 25, 2024

About

A Model Context Protocol server that exposes Binance exchange API functions—market data, account info, and trading operations—to Claude Code and other MCP‑compatible AI tools. It supports both testnet and mainnet environments with secure key management.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Binance MCP Server is a dedicated Model Context Protocol implementation that exposes real‑time market data from the Binance exchange to AI assistants such as Claude. By turning Binance’s rich WebSocket feeds into MCP‑compatible resources, developers can embed live trading information directly into conversational agents without having to manage the intricacies of Binance’s API themselves. This streamlines the creation of finance‑focused assistants that can answer questions about current prices, recent trades, or funding rates in natural language.

At its core, the server opens persistent WebSocket connections to Binance’s public streams and translates incoming JSON messages into type‑safe MCP events. It supports both spot and futures markets, allowing clients to subscribe to a wide array of data types—trade ticks, 24‑hour ticker statistics, order book snapshots (), candlestick () data, and futures‑specific feeds such as and . The server automatically manages reconnection with exponential backoff, so the AI assistant never loses data due to transient network hiccups. Comprehensive error handling ensures that malformed messages or API limits are surfaced gracefully, keeping the conversational flow stable.

For developers building AI workflows, this MCP server removes a significant amount of boilerplate. Instead of writing custom WebSocket wrappers or polling endpoints, an assistant can simply call and register callbacks with . The underlying server handles all low‑level details, allowing developers to focus on higher‑level logic such as trend analysis or portfolio monitoring. Because the data is delivered in a consistent, type‑safe format, downstream components—whether they are natural language generators or decision engines—can rely on predictable payloads.

Real‑world use cases include:

  • Trading bots that need instant market depth updates to execute algorithmic strategies.
  • Financial chatbots that answer user queries about the latest price or recent large trades.
  • Risk monitoring tools that track funding rates and mark prices for futures positions in real time.
  • Educational platforms that demonstrate market dynamics through live visualizations powered by AI narration.

The server’s standout features are its seamless WebSocket integration, automatic reconnection strategy, and the breadth of supported stream types across both spot and futures markets. By abstracting Binance’s API into MCP resources, it empowers AI assistants to become powerful, data‑driven companions in the fast‑moving world of cryptocurrency trading.