MCP Connector

Control MetaTrader 5 with Natural Language

MetaTrader MCP Server connects AI assistants to MetaTrader 5 for automated trading via natural language. Execute trades and manage accounts.

Works with metatrader

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Updated 4 months ago
Version 0.2.3
Models
claudeuniversal

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Why it matters

Bridge your AI assistant to the MetaTrader 5 platform. Execute trades, manage positions, and retrieve market data using natural language commands, enhancing your trading automation.

Outcomes

What it gets done

01

Execute trades via natural language commands.

02

Retrieve real-time and historical market data.

03

Manage open positions and pending orders.

04

Monitor account balance, equity, and margin levels.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-metatrader-mcp | bash

Capabilities

Tools your agent gets

get_account_info

Get balance, equity, profit, margin level, leverage, and currency information

get_symbols

List all available trading symbols

get_symbol_price

Get current bid/ask price for a symbol

get_candles_latest

Get latest candles with OHLCV data

get_candles_by_date

Get historical candles for a specified period

place_market_order

Execute instant BUY/SELL orders

place_pending_order

Place limit/stop orders for future execution

modify_position

Update stop loss or take profit for a position

+7 tools

Overview

MetaTrader MCP Server

MetaTrader MCP Server acts as a bridge, connecting AI assistants like Claude and ChatGPT to the MetaTrader 5 trading platform. It allows users to interact with MT5 using natural language commands for tasks such as checking account balances, placing trades, and managing orders. This tool is ideal for traders and developers looking to automate their trading strategies using AI, build custom trading bots, or gain quick access to market data through conversational interfaces.

What it does

The big job is to enable AI-driven automated trading and market analysis. The small job is to act as a bridge between an AI assistant and the MetaTrader 5 platform, allowing users to control trades and access market data using natural language commands.

For example, to get started, you can install the package using:

pip install metatrader-mcp-server

Then, configure your AI assistant (like Claude Desktop) to use the MCP server. For Claude Desktop, you would modify its configuration file to include:

{
  "mcpServers": {
    "metatrader": {
      "command": "metatrader-mcp-server",
      "args": [
        "--login",     "YOUR_MT5_LOGIN",
        "--password",  "YOUR_MT5_PASSWORD",
        "--server",    "YOUR_MT5_SERVER",
        "--transport", "stdio"
      ]
    }
  }
}
Source README

MetaTrader MCP Server


PyPI version
Python 3.10+
License: MIT

Let AI assistants trade for you using natural language



πŸ“‘ Table of Contents


🌟 What is This?

MetaTrader MCP Server is a bridge that connects AI assistants (like Claude, ChatGPT) to the MetaTrader 5 trading platform. Instead of clicking buttons, you can simply tell your AI assistant what to do:

"Show me my account balance"
"Buy 0.01 lots of EUR/USD"
"Close all profitable positions"

The AI understands your request and executes it on MetaTrader 5 automatically.

How It Works

You β†’ AI Assistant β†’ MCP Server β†’ MetaTrader 5 β†’ Your Trades

✨ Features

  • πŸ—£οΈ Natural Language Trading - Talk to AI in plain English to execute trades
  • πŸ€– Multi-AI Support - Works with Claude Desktop, ChatGPT (via Open WebUI), and more
  • πŸ“Š Full Market Access - Get real-time prices, historical data, and symbol information
  • πŸ’Ό Complete Account Control - Check balance, equity, margin, and trading statistics
  • ⚑ Order Management - Place, modify, and close orders with simple commands
  • πŸ”’ Secure - All credentials stay on your machine
  • 🌐 Flexible Interfaces - Use as MCP server, REST API, or WebSocket stream
  • πŸ“– Well Documented - Comprehensive guides and examples

🎯 Who Is This For?

  • Traders who want to automate their trading using AI
  • Developers building trading bots or analysis tools
  • Analysts who need quick access to market data
  • Anyone interested in combining AI with financial markets

⚠️ Important Disclaimer

Please read this carefully:

Trading financial instruments involves significant risk of loss. This software is provided as-is, and the developers accept no liability for any trading losses, gains, or consequences of using this software.

By using this software, you acknowledge that:

  • You understand the risks of financial trading
  • You are responsible for all trades executed through this system
  • You will not hold the developers liable for any outcomes
  • You are using this software at your own risk

This is not financial advice. Always trade responsibly.


πŸ“‹ Prerequisites

Before you begin, make sure you have:

  1. Python 3.10 or higher - Download here
  2. MetaTrader 5 terminal - Download here
  3. MT5 Trading Account - Demo or live account credentials
    • Login number
    • Password
    • Server name (e.g., "MetaQuotes-Demo")

πŸš€ Quick Start

Step 1: Install the Package

Open your terminal or command prompt and run:

pip install metatrader-mcp-server

Step 2: Enable Algorithmic Trading

  1. Open MetaTrader 5
  2. Go to Tools β†’ Options
  3. Click the Expert Advisors tab
  4. Check the box for Allow algorithmic trading
  5. Click OK

Step 3: Choose Your Interface

Pick one based on how you want to use it:

Option A: Use with Claude Desktop (Local STDIO)
  1. Find your Claude Desktop config file:

    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
  2. Open the file and add this configuration:

{
  "mcpServers": {
    "metatrader": {
      "command": "metatrader-mcp-server",
      "args": [
        "--login",     "YOUR_MT5_LOGIN",
        "--password",  "YOUR_MT5_PASSWORD",
        "--server",    "YOUR_MT5_SERVER",
        "--transport", "stdio"
      ]
    }
  }
}

Optional: Specify Custom MT5 Terminal Path

If your MT5 terminal is installed in a non-standard location, add the --path argument:

{
  "mcpServers": {
    "metatrader": {
      "command": "metatrader-mcp-server",
      "args": [
        "--login",     "YOUR_MT5_LOGIN",
        "--password",  "YOUR_MT5_PASSWORD",
        "--server",    "YOUR_MT5_SERVER",
        "--transport", "stdio",
        "--path",      "C:\\Program Files\\MetaTrader 5\\terminal64.exe"
      ]
    }
  }
}
  1. Replace YOUR_MT5_LOGIN, YOUR_MT5_PASSWORD, and YOUR_MT5_SERVER with your actual credentials

  2. Restart Claude Desktop

  3. Start chatting! Try: "What's my account balance?"

Option B: Use with Open WebUI (For ChatGPT and other LLMs)
  1. Start the HTTP server:
metatrader-http-server --login YOUR_LOGIN --password YOUR_PASSWORD --server YOUR_SERVER --host 0.0.0.0 --port 8000

Optional: Specify Custom MT5 Terminal Path

If your MT5 terminal is installed in a non-standard location, add the --path argument:

metatrader-http-server --login YOUR_LOGIN --password YOUR_PASSWORD --server YOUR_SERVER --path "C:\Program Files\MetaTrader 5\terminal64.exe" --host 0.0.0.0 --port 8000
  1. Open your browser to http://localhost:8000/docs to see the API documentation

  2. In Open WebUI:

    • Go to Settings β†’ Tools
    • Click Add Tool Server
    • Enter http://localhost:8000
    • Save
  3. Now you can use trading tools in your Open WebUI chats!

Option C: Real-Time Quotes via WebSocket

Stream live tick data (bid, ask, spread, volume) over WebSocket for dashboards, bots, or monitoring:

metatrader-quote-server --login YOUR_LOGIN --password YOUR_PASSWORD --server YOUR_SERVER

Connect with any WebSocket client:

websocat ws://localhost:8765

You'll receive a connected message followed by continuous tick updates as JSON. See WebSocket Quote Server for full details.

Option D: Remote MCP Server (SSE)

Run the MCP server on a Windows VPS (where MT5 is installed) and connect to it remotely from Claude Desktop or Claude Code.

Server-side (on the Windows VPS):

metatrader-mcp-server --login YOUR_LOGIN --password YOUR_PASSWORD --server YOUR_SERVER

This starts the SSE server on 0.0.0.0:8080 by default. Customize with --host and --port:

metatrader-mcp-server --login YOUR_LOGIN --password YOUR_PASSWORD --server YOUR_SERVER --host 127.0.0.1 --port 9000

Client-side (Claude Desktop config on your local machine):

{
  "mcpServers": {
    "metatrader": {
      "url": "http://VPS_IP:8080/sse"
    }
  }
}

Replace VPS_IP with your server's IP address.

Security Warning: The MCP protocol does not include authentication. When exposing the SSE server over a network, use a firewall to restrict access by IP, or place it behind a reverse proxy with authentication, or use an SSH tunnel.


πŸ€– Trading Assistant Skill (Claude Code / Claude Desktop)

A pre-built Trading Terminal Assistant skill is included in the claude-skill/ directory. It provides Claude with structured knowledge about all 32 trading tools, output formatting, and MetaTrader 5 domain expertise.

Installing for Claude Code

Option 1: Symlink (recommended)

Create a symlink from the standard Claude Code skills directory to claude-skill/:

cd metatrader-mcp-server
mkdir -p .claude
ln -s ../claude-skill .claude/skills

The skill will be auto-discovered and available as /trading.

Option 2: Copy

Copy the skill files into the Claude Code skills directory:

cd metatrader-mcp-server
mkdir -p .claude/skills
cp -r claude-skill/trading .claude/skills/trading

Installing for Claude Desktop

For Claude Desktop, copy the skill to the global Claude skills directory:

# macOS
mkdir -p ~/Library/Application\ Support/Claude/skills
cp -r claude-skill/trading ~/Library/Application\ Support/Claude/skills/trading

# Windows
mkdir "%APPDATA%\Claude\skills"
xcopy /E claude-skill\trading "%APPDATA%\Claude\skills\trading\"

What the Skill Does

  • Direct Execution: Executes trades immediately when requested, no extra confirmation needed
  • Workflows: Knows how to chain tools for complex operations (e.g., place market order then set SL/TP)
  • Formatting: Presents account data, positions, orders, and prices in clean terminal-style tables
  • Domain Knowledge: Understands MT5 order types, timeframes, symbol formats, and filling modes

Usage

Once installed, invoke with /trading or just ask trading-related questions naturally:

/trading
> Show me my account dashboard
> Buy 0.1 lots of EURUSD with SL at 1.0800
> Close all profitable positions
> Show me GBPUSD H4 candles

πŸ“‘ WebSocket Quote Server

The WebSocket Quote Server streams real-time tick data from MetaTrader 5 to any WebSocket client. It's ideal for live dashboards, algorithmic trading frontends, and real-time monitoring.

Starting the Server

metatrader-quote-server --login YOUR_LOGIN --password YOUR_PASSWORD --server YOUR_SERVER

The server starts on ws://0.0.0.0:8765 by default.

Customization

metatrader-quote-server \
  --login YOUR_LOGIN \
  --password YOUR_PASSWORD \
  --server YOUR_SERVER \
  --host 127.0.0.1 \
  --port 9000 \
  --symbols "EURUSD,GBPUSD,XAUUSD" \
  --poll-interval 200

Configuration

Flag Env Var Default Description
--host QUOTE_HOST 0.0.0.0 Host to bind
--port QUOTE_PORT 8765 Port to bind
--symbols QUOTE_SYMBOLS XAUUSD,USOIL,GBPUSD,USDJPY,EURUSD,BTCUSD Comma-separated symbols to stream
--poll-interval QUOTE_POLL_INTERVAL_MS 100 Tick polling interval in milliseconds

CLI flags take precedence over environment variables, which take precedence over defaults.

Message Format

On connect - server sends a connected message with the symbol list, followed by any cached ticks:

{"type": "connected", "symbols": ["XAUUSD", "EURUSD", "GBPUSD"], "poll_interval_ms": 100}

Tick updates - sent whenever bid, ask, or volume changes:

{"type": "tick", "symbol": "XAUUSD", "bid": 2345.67, "ask": 2345.89, "spread": 0.22, "volume": 1234, "time": "2026-03-14T10:30:45+00:00"}

Errors - sent if a symbol cannot be fetched:

{"type": "error", "symbol": "INVALID", "message": "Symbol not found or data unavailable"}

Example: Connecting with Python

import asyncio
import json
from websockets.asyncio.client import connect

async def main():
    async with connect("ws://localhost:8765") as ws:
        async for message in ws:
            tick = json.loads(message)
            if tick["type"] == "tick":
                print(f"{tick['symbol']}: {tick['bid']}/{tick['ask']} (spread: {tick['spread']})")

asyncio.run(main())

Design Notes

  • Change detection: Only broadcasts when bid, ask, or volume actually changes, reducing unnecessary traffic.
  • Late joiners: New clients receive cached ticks immediately on connect, so they don't have to wait for the next change.
  • MT5 thread safety: All MT5 SDK calls are serialized through a single-thread executor to prevent concurrent access issues.
  • Multiple clients: Any number of WebSocket clients can connect simultaneously.

πŸ’‘ Usage Examples

With Claude Desktop

Once configured, you can chat naturally:

Check Your Account:

You: "Show me my account information"

Claude: Returns balance, equity, margin, leverage, etc.

Get Market Data:

You: "What's the current price of EUR/USD?"

Claude: Shows bid, ask, and spread

Place a Trade:

You: "Buy 0.01 lots of GBP/USD with stop loss at 1.2500 and take profit at 1.2700"

Claude: Executes the trade and confirms

Manage Positions:

You: "Close all my losing positions"

Claude: Closes positions and reports results

Analyze History:

You: "Show me all my trades from last week for EUR/USD"

Claude: Returns trade history as a table

With HTTP API

# Get account info
curl http://localhost:8000/api/v1/account/info

# Get current price
curl "http://localhost:8000/api/v1/market/price?symbol_name=EURUSD"

# Place a market order
curl -X POST http://localhost:8000/api/v1/order/market \
  -H "Content-Type: application/json" \
  -d '{
    "symbol": "EURUSD",
    "volume": 0.01,
    "type": "BUY",
    "stop_loss": 1.0990,
    "take_profit": 1.1010
  }'

# Get all open positions
curl http://localhost:8000/api/v1/positions

# Close a specific position
curl -X DELETE http://localhost:8000/api/v1/positions/12345

As a Python Library

from metatrader_client import MT5Client

# Connect to MT5
config = {
    "login": 12345678,
    "password": "your_password",
    "server": "MetaQuotes-Demo"
}
client = MT5Client(config)
client.connect()

# Get account statistics
stats = client.account.get_trade_statistics()
print(f"Balance: ${stats['balance']}")
print(f"Equity: ${stats['equity']}")

# Get current price
price = client.market.get_symbol_price("EURUSD")
print(f"EUR/USD Bid: {price['bid']}, Ask: {price['ask']}")

# Place a market order
result = client.order.place_market_order(
    type="BUY",
    symbol="EURUSD",
    volume=0.01,
    stop_loss=1.0990,
    take_profit=1.1010
)
print(result['message'])

# Close all positions
client.order.close_all_positions()

# Disconnect
client.disconnect()

πŸ“š Available Operations

Account Management

  • get_account_info - Get balance, equity, profit, margin level, leverage, currency

Market Data

  • get_symbols - List all available trading symbols
  • get_symbol_price - Get current bid/ask price for a symbol
  • get_candles_latest - Get recent price candles (OHLCV data)
  • get_candles_by_date - Get historical candles for a date range
  • get_symbol_info - Get detailed symbol information

Order Execution

  • place_market_order - Execute instant BUY/SELL orders
  • place_pending_order - Place limit/stop orders for future execution
  • modify_position - Update stop loss or take profit
  • modify_pending_order - Modify pending order parameters

Position Management

  • get_all_positions - View all open positions
  • get_positions_by_symbol - Filter positions by trading pair
  • get_positions_by_id - Get specific position details
  • close_position - Close a specific position
  • close_all_positions - Close all open positions
  • close_all_positions_by_symbol - Close all positions for a symbol
  • close_all_profitable_positions - Close only winning trades
  • close_all_losing_positions - Close only losing trades

Pending Orders

  • get_all_pending_orders - List all pending orders
  • get_pending_orders_by_symbol - Filter pending orders by symbol
  • cancel_pending_order - Cancel a specific pending order
  • cancel_all_pending_orders - Cancel all pending orders
  • cancel_pending_orders_by_symbol - Cancel pending orders for a symbol

Trading History

  • get_deals - Get historical completed trades
  • get_orders - Get historical order records

πŸ”§ Advanced Configuration

Using Environment Variables

Instead of putting credentials in the command line, create a .env file:

LOGIN=12345678
PASSWORD=your_password
SERVER=MetaQuotes-Demo

# Optional: Specify custom MT5 terminal path (auto-detected if not provided)
# MT5_PATH=C:\Program Files\MetaTrader 5\terminal64.exe

Then start the server without arguments:

metatrader-http-server

The server will automatically load credentials from the .env file.

MCP Transport Configuration

The MCP server supports multiple transport modes:

Flag Env Var Default Description
--transport MCP_TRANSPORT sse Transport type: sse, stdio, streamable-http
--host MCP_HOST 0.0.0.0 Host to bind (SSE/HTTP only)
--port MCP_PORT 8080 Port to bind (SSE/HTTP only)

CLI flags take precedence over environment variables, which take precedence over defaults.

Custom Port and Host (HTTP API)

metatrader-http-server --host 127.0.0.1 --port 9000

Connection Parameters

The MT5 client supports additional configuration:

config = {
    "login": 12345678,
    "password": "your_password",
    "server": "MetaQuotes-Demo",
    "path": None,               # Path to MT5 terminal executable (default: auto-detect)
    "timeout": 60000,           # Connection timeout in milliseconds (default: 60000)
    "portable": False,          # Use portable mode (default: False)
    "max_retries": 3,           # Maximum connection retry attempts (default: 3)
    "backoff_factor": 1.5,      # Delay multiplier between retries (default: 1.5)
    "cooldown_time": 2.0,       # Seconds to wait between connections (default: 2.0)
    "debug": True               # Enable debug logging (default: False)
}

Configuration Options:

  • login (int, required): Your MT5 account login number
  • password (str, required): Your MT5 account password
  • server (str, required): MT5 server name (e.g., "MetaQuotes-Demo")
  • path (str, optional): Full path to the MT5 terminal executable. If not specified, the client will automatically search standard installation directories
  • timeout (int, optional): Connection timeout in milliseconds. Default: 60000 (60 seconds)
  • portable (bool, optional): Enable portable mode for the MT5 terminal. Default: False
  • max_retries (int, optional): Maximum number of connection retry attempts. Default: 3
  • backoff_factor (float, optional): Exponential backoff factor for retry delays. Default: 1.5
  • cooldown_time (float, optional): Minimum time in seconds between connection attempts. Default: 2.0
  • debug (bool, optional): Enable detailed debug logging for troubleshooting. Default: False

πŸ—ΊοΈ Roadmap

Feature Status
MetaTrader 5 Connection βœ… Complete
Python Client Library βœ… Complete
MCP Server βœ… Complete
Claude Desktop Integration βœ… Complete
HTTP/REST API Server βœ… Complete
Open WebUI Integration βœ… Complete
OpenAPI Documentation βœ… Complete
PyPI Package βœ… Published
SSE Transport Support βœ… Complete
Google ADK Integration 🚧 In Progress
WebSocket Quote Server βœ… Complete
Docker Container πŸ“‹ Planned

πŸ› οΈ Development

Setting Up Development Environment

# Clone the repository
git clone https://github.com/ariadng/metatrader-mcp-server.git
cd metatrader-mcp-server

# Install in development mode
pip install -e .

# Install development dependencies
pip install pytest python-dotenv

# Run tests
pytest tests/

Project Structure

metatrader-mcp-server/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ metatrader_client/      # Core MT5 client library
β”‚   β”‚   β”œβ”€β”€ account/            # Account operations
β”‚   β”‚   β”œβ”€β”€ connection/         # Connection management
β”‚   β”‚   β”œβ”€β”€ history/            # Historical data
β”‚   β”‚   β”œβ”€β”€ market/             # Market data
β”‚   β”‚   β”œβ”€β”€ order/              # Order execution
β”‚   β”‚   └── types/              # Type definitions
β”‚   β”œβ”€β”€ metatrader_mcp/         # MCP server implementation
β”‚   β”œβ”€β”€ metatrader_openapi/     # HTTP/REST API server
β”‚   └── metatrader_quote/       # WebSocket quote streamer
β”œβ”€β”€ tests/                      # Test suite
β”œβ”€β”€ docs/                       # Documentation
└── pyproject.toml             # Project configuration

🀝 Contributing

Contributions are welcome! Here's how you can help:

  1. Report Bugs - Open an issue
  2. Suggest Features - Share your ideas in issues
  3. Submit Pull Requests - Fix bugs or add features
  4. Improve Documentation - Help make docs clearer
  5. Share Examples - Show how you're using it

πŸ“– Documentation


πŸ†˜ Getting Help

Common Issues

"Connection failed"

  • Ensure MT5 terminal is running
  • Check that algorithmic trading is enabled
  • Verify your login credentials are correct

"Module not found"

  • Make sure you've installed the package: pip install metatrader-mcp-server
  • Check your Python version is 3.10 or higher

"Order execution failed"

  • Verify the symbol exists on your broker
  • Check that the market is open
  • Ensure you have sufficient margin

πŸ“ License

This project is licensed under the MIT License - see the LICENSE file for details.


πŸ™ Acknowledgments


πŸ“Š Project Stats

  • Version: 0.5.1
  • Python: 3.10+
  • License: MIT
  • Status: Active Development

Made with ❀️ by Aria Dhanang

⭐ Star this repo if you find it useful!

PyPI β€’ GitHub β€’ Issues

FAQ

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