Reading
Trading MCP Server is a local server based on the Model Context Protocol, providing a secure trading toolset for AI agents like Claude Code and Copilot CLI. It includes market data, technical indicators, risk management, paper trading, backtesting, and protected live trading interfaces, with multi-layered security mechanisms to ensure trading safety.
Section 01
Trading MCP Server is a local server based on the Model Context Protocol, providing a secure trading toolset for AI agents like Claude Code and Copilot CLI. It includes market data, technical indicators, risk management, paper trading, backtesting, and protected live trading interfaces, with multi-layered security mechanisms to ensure trading safety.
Section 02
Section 03
With the improvement of large language model capabilities, AI agents are gradually entering various professional fields. In the field of financial trading, AI can assist in analyzing market data, identifying trading opportunities, and calculating risk parameters. However, connecting AI to real trading environments involves significant security and compliance risks—an incorrect instruction could lead to actual financial losses.
The Model Context Protocol (MCP) is an open protocol proposed by Anthropic, aiming to standardize the interaction between AI models and external tools and data sources. Through MCP, AI agents can safely call external functions without directly handling sensitive credentials or performing high-risk operations.
Trading MCP Server is a dedicated trading tool server built based on the MCP protocol. Its design philosophy is "AI handles reasoning, the server handles execution"—AI agents perform market analysis and decision recommendations, while the server provides standardized tool interfaces and implements strict security controls at the execution layer.
Section 04
Trading MCP Server has taken security as a non-negotiable core principle from the very beginning of its design. This security concept is reflected in multiple layers:
Section 05
The system works in Paper Trading mode by default. In this mode, all trading operations are executed in a virtual environment and do not affect real account funds. Users can test strategies, verify AI recommendations, and familiarize themselves with tool interfaces in a zero-risk environment.
Section 06
Even when switching to live trading mode, the system implements multiple security mechanisms:
ALLOW_LIVE_TRADING can only be set by manually editing the .env file; no tool can remotely enable live tradingTRADING_MODE=live and ALLOW_LIVE_TRADING=trueSection 07
Every decision and operation is appended to the audit log (storage/trade_logs.jsonl), forming a complete operation record. This design not only meets compliance requirements but also provides a data basis for post-event analysis and strategy optimization.
Section 08
Trading MCP Server provides a toolset covering the entire trading process, organized by functional categories:
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