Choosing MCP, REST, WebSocket, and CCXT for Crypto Trading Agents
Summary
The document compares four tools used to build crypto trading systems with AI agents. It assigns MCP to structured tool calls and agent-readable exchange context, REST APIs to deterministic account operations and order execution, WebSockets to live prices, trades, and order book updates, and CCXT to common operations across multiple exchanges. Its central architectural proposal combines these interfaces with a local risk engine and human review before live orders are sent.
A comparison table discusses agent compatibility, data freshness, execution, error handling, latency, security, and developer effort. The document also lists example market and futures information an agent might query, including funding rates and order book conditions. The guidance is architectural rather than empirical: it provides no latency measurements, reliability tests, or comparison of specific implementations. It notes that MCP capabilities depend on the server, WebSocket systems require connection and sequence handling, and CCXT may not expose every exchange-specific feature. Live trading still requires appropriate permissions and independent controls.
Key ideas
- MCP can expose structured exchange tools to an AI agent, but it is not a substitute for streaming or execution interfaces.
- WebSockets are suited to real-time market updates, while REST APIs handle request-based account and order tasks.
- CCXT reduces exchange-specific work for common operations and supports multi-exchange research.
- A trading agent stack can combine these interfaces with a risk engine and human review.
- Tool quality, security, error handling, and exchange-specific features depend on implementation.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.