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MetaTrader MCP Server

MCP Server

Natural Language Trading Bridge for MetaTrader 5

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About

The MetaTrader MCP Server connects AI assistants to the MetaTrader 5 platform, allowing users to trade and access market data via plain English commands. It supports multiple AI tools, real‑time pricing, account management, and secure order execution.

Capabilities

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

MetaTrader MCP Server

Overview

The MetaTrader MCP Server is a purpose‑built bridge that lets AI assistants such as Claude or ChatGPT trade directly on the MetaTrader 5 platform through natural‑language commands. Instead of navigating a graphical interface, users can simply instruct the assistant to “buy 0.01 lots of EUR/USD” or “display my account equity,” and the server translates those requests into API calls that execute on the MT5 terminal. This eliminates the need for manual trading or bespoke scripting, allowing traders and developers to harness conversational AI for real‑time market interaction.

The server solves the pain point of integrating advanced financial data and order execution into AI workflows. Traders who normally rely on spreadsheets or manual chart analysis can now query market prices, retrieve historical data, and manage positions—all within a single chat session. Developers building algorithmic strategies or research tools can embed the MCP server as a lightweight REST endpoint, giving their applications instant access to account balances, margin calculations, and order book information without writing custom MT5 connectors.

Key capabilities include full market access (live quotes, historical bars, and symbol metadata), comprehensive account control (balance, equity, margin, and trade statistics), and robust order management (placement, modification, closure). The server supports multi‑AI platforms; it can be configured to work with Claude Desktop, ChatGPT via Open WebUI, or any other MCP‑compatible client. Security is emphasized by keeping credentials locally on the user’s machine, and the server can be run either as an MCP service or a standard REST API for greater flexibility.

Typical use cases span automated trading, where an AI assistant can execute strategy signals on behalf of a user; research and analysis, where analysts can query market data conversationally; and educational scenarios, allowing novices to experiment with trading commands without risking actual capital. By integrating seamlessly into existing AI workflows, the MetaTrader MCP Server empowers developers to build richer financial applications—such as portfolio dashboards, risk monitoring tools, or AI‑driven decision aids—that leverage real market data in an intuitive, conversational manner.