CCXT
Createddoggybee
Integrates cryptocurrency exchanges via MCP (Model Context Protocol) for high-performance market data access and trading operations.
About
CCXT acts as a bridge between Large Language Models and cryptocurrency exchanges, providing a unified API for accessing real-time market data and executing trades across multiple exchanges. By leveraging the Model Context Protocol (MCP) and the CCXT library, it enables LLMs to query market information, manage balances, and perform trading operations with ease. It also features optimized caching, rate limiting, and proxy support for a reliable and efficient experience.
Key Features
- 6 GitHub stars
- Supports spot, futures, and swap markets to accommodate diverse trading strategies.
- Connects to 20+ cryptocurrency exchanges for comprehensive market coverage.
- Compatible with LLMs like Claude and GPT via the Model Context Protocol (MCP).
- Optimized caching and rate limiting ensure fast and reliable data retrieval.
- Offers proxy configuration for secure access to exchanges.
Use Cases
- Automating trading strategies across multiple exchanges through a unified API.
- Enabling LLMs to access real-time cryptocurrency market data for analysis and decision-making.
- Integrating cryptocurrency trading capabilities into existing applications and workflows.
