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ariadng/metatrader-mcp-server

by Various

Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform

A

MCP

ariadng/metatrader-mcp-server

Added 1 June 2026

#ai #finance #investment #llm #mcp #metatrader #quantitative-finance #trading

Overview

This MCP server lets language models interact with the MetaTrader trading platform. It translates LLM requests into MetaTrader operations for automated trading. The server is written in Python and uses the Model Context Protocol standard.

Best for

Best for
Developers embedding LLM agents into MetaTrader trading workflows

Use cases

  • Automate trading strategies via LLM commands
  • Connect conversational agents to live MetaTrader accounts
  • Enable LLM-based backtesting and order placement

How to use

Install

pip install metatrader-mcp-server

Tools exposed

  • metatrader-mcp-server
  • metatrader-http-server
  • metatrader-quote-server

Tested with

Claude Desktop, Claude Code, ChatGPT

Example client config

[object Object]

Notes

This MCP server lets language models interact with the MetaTrader trading platform. It translates LLM requests into MetaTrader operations for automated trading. The server is written in Python and uses the Model Context Protocol standard.

465 stars on GitHub. Last updated 2026-03-28. Licensed MIT.

Use cases

  • Automate trading strategies via LLM commands
  • Connect conversational agents to live MetaTrader accounts
  • Enable LLM-based backtesting and order placement

Pros

  • Open source with 465 GitHub stars and active community
  • Integrates with widely used MetaTrader platform
  • Pure Python implementation is easy to extend

Cons

  • Requires MetaTrader running locally or on a remote machine
  • Not a standalone trading system, needs external LLM model
  • Latency and reliability depend on MetaTrader connection

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source with 465 GitHub stars and active community
  • Integrates with widely used MetaTrader platform
  • Pure Python implementation is easy to extend

Cons

  • Requires MetaTrader running locally or on a remote machine
  • Not a standalone trading system, needs external LLM model
  • Latency and reliability depend on MetaTrader connection

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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