MCP server for accessing Binance data
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-tienan92it-binance-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Binance MCP Server A Model Context Protocol (MCP) server that exposes Binance cryptocurrency exchange data to Large Language Model (LLM) agents. This server allows LLMs to access real-time and historical market data from Binance through a standardized interface. ## Features - **Live Price Data**: Get current prices for any trading pair on Binance - **Order Book Access**: Retrieve order book snapshots showing buy/sell interest at different price levels - **Historical Price Data**: Fetch OHLCV (Open, High, Low, Close, Volume) candlestick data for any timeframe - **Real-time WebSocket Streams**: Subscribe to real-time trade, ticker, and order book updates via WebSockets - **Comprehensive Market Data**: Access trades, 24hr statistics, aggregate trades, rolling window data, and more - **Exchange Information**: Access trading rules, symbol information, and fee structures - **Read-only Operation**: All data is fetched via Binance's public REST API (no API keys required) - **MCP Standard Compliant**: Works with any MCP-compatible LLM client ## Requirements - Python 3.8+ - `mcp` package with CLI tools (`mcp[cli]`) - `requests` library for REST API - `websockets` library for WebSocket streams - `uvicorn` for serving (optional) ## Installation 1. Clone this repository: ```bash git clone https://github.com/yourusername/binance_mcp_server.git cd binance_mcp_server ``` 2. Install dependencies: ```bash pip install -r requirements.txt ``` ## Usage ### Running the Server Directly To run the server in standalone mode: ```bash python run_server.py ``` This will start the MCP server, which will listen for connections via STDIO. ### Development Mode with MCP Inspector For development and testing, use the MCP Inspector: ```bash mcp dev run_server.py ``` This opens the MCP Inspector interface where you can test the server's tools interactively. ### Installing in Claude Desktop To use this server with Claude Desktop: 1. Install the MCP CLI tools if you haven't alread…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.