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Built with ❤️ by Krishna Goyal

    Metatrader Mcp Server

    Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform Python-based implementation.

    114 stars
    Python
    Updated Nov 4, 2025
    ai
    finance
    investment
    llm
    mcp
    metatrader
    quantitative-finance
    trading

    Table of Contents

    • 📑 Table of Contents
    • 🌟 What is This?
    • How It Works
    • ✨ Features
    • 🎯 Who Is This For?
    • ⚠️ Important Disclaimer
    • 📋 Prerequisites
    • 🚀 Quick Start
    • Step 1: Install the Package
    • Step 2: Enable Algorithmic Trading
    • Step 3: Choose Your Interface
    • Option A: Use with Claude Desktop (Local STDIO)
    • Option B: Use with Open WebUI (For ChatGPT and other LLMs)
    • Option C: Real-Time Quotes via WebSocket
    • Option D: Remote MCP Server (SSE)
    • 🤖 Trading Assistant Skill (Claude Code / Claude Desktop)
    • Installing for Claude Code
    • Installing for Claude Desktop
    • What the Skill Does
    • Usage
    • 📡 WebSocket Quote Server
    • Starting the Server
    • Customization
    • Configuration
    • Message Format
    • Example: Connecting with Python
    • Design Notes
    • 💡 Usage Examples
    • With Claude Desktop
    • With HTTP API
    • As a Python Library
    • 📚 Available Operations
    • Account Management
    • Market Data
    • Order Execution
    • Position Management
    • Pending Orders
    • Trading History
    • 🔧 Advanced Configuration
    • Using Environment Variables
    • MCP Transport Configuration
    • Custom Port and Host (HTTP API)
    • Connection Parameters
    • 🗺️ Roadmap
    • 🛠️ Development
    • Setting Up Development Environment
    • Project Structure
    • 🤝 Contributing
    • Contribution Guidelines
    • 📖 Documentation
    • 🆘 Getting Help
    • Common Issues
    • 📝 License
    • 🙏 Acknowledgments
    • 📊 Project Stats

    Table of Contents

    • 📑 Table of Contents
    • 🌟 What is This?
    • How It Works
    • ✨ Features
    • 🎯 Who Is This For?
    • ⚠️ Important Disclaimer
    • 📋 Prerequisites
    • 🚀 Quick Start
    • Step 1: Install the Package
    • Step 2: Enable Algorithmic Trading
    • Step 3: Choose Your Interface
    • Option A: Use with Claude Desktop (Local STDIO)
    • Option B: Use with Open WebUI (For ChatGPT and other LLMs)
    • Option C: Real-Time Quotes via WebSocket
    • Option D: Remote MCP Server (SSE)
    • 🤖 Trading Assistant Skill (Claude Code / Claude Desktop)
    • Installing for Claude Code
    • Installing for Claude Desktop
    • What the Skill Does
    • Usage
    • 📡 WebSocket Quote Server
    • Starting the Server
    • Customization
    • Configuration
    • Message Format
    • Example: Connecting with Python
    • Design Notes
    • 💡 Usage Examples
    • With Claude Desktop
    • With HTTP API
    • As a Python Library
    • 📚 Available Operations
    • Account Management
    • Market Data
    • Order Execution
    • Position Management
    • Pending Orders
    • Trading History
    • 🔧 Advanced Configuration
    • Using Environment Variables
    • MCP Transport Configuration
    • Custom Port and Host (HTTP API)
    • Connection Parameters
    • 🗺️ Roadmap
    • 🛠️ Development
    • Setting Up Development Environment
    • Project Structure
    • 🤝 Contributing
    • Contribution Guidelines
    • 📖 Documentation
    • 🆘 Getting Help
    • Common Issues
    • 📝 License
    • 🙏 Acknowledgments
    • 📊 Project Stats

    Documentation

    ---

    📑 Table of Contents

    • What is This?
    • Features
    • Who Is This For?
    • Important Disclaimer
    • Prerequisites
    • Quick Start
    • Trading Assistant Skill
    • Usage Examples
    • Available Operations
    • WebSocket Quote Server
    • Advanced Configuration
    • Roadmap
    • Development
    • Contributing
    • Documentation
    • Getting Help
    • License

    ---

    🌟 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

    code
    You → AI Assistant → MCP Server → MetaTrader 5 → Your Trades

    ✨ Features

    • 🗣️ Natural Language Trading - Talk to AI in plain English to execute trades
    • 🤖 Multi-AI Support - Works with Claude Desktop, ChatGPT (via Open WebUI), and more
    • 📊 Full Market Access - Get real-time prices, historical data, and symbol information
    • 💼 Complete Account Control - Check balance, equity, margin, and trading statistics
    • ⚡ Order Management - Place, modify, and close orders with simple commands
    • 🔒 Secure - All credentials stay on your machine
    • 🌐 Flexible Interfaces - Use as MCP server, REST API, or WebSocket stream
    • 📖 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.

    ---

    📋 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")

    🚀 Quick Start

    Step 1: Install the Package

    Open your terminal or command prompt and run:

    bash
    pip install metatrader-mcp-server

    Step 2: Enable Algorithmic Trading

    1. Open MetaTrader 5

    2. Go to Tools → 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:

    json
    {
      "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:

    json
    {
      "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"
          ]
        }
      }
    }

    3. Replace YOUR_MT5_LOGIN, YOUR_MT5_PASSWORD, and YOUR_MT5_SERVER with your actual credentials

    4. Restart Claude Desktop

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

    Option B: Use with Open WebUI (For ChatGPT and other LLMs)

    1. Start the HTTP server:

    bash
    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:

    bash
    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

    2. Open your browser to http://localhost:8000/docs to see the API documentation

    3. In Open WebUI:

    • Go to Settings → Tools
    • Click Add Tool Server
    • Enter http://localhost:8000
    • Save

    4. 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:

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

    Connect with any WebSocket client:

    bash
    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):

    bash
    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:

    bash
    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):

    json
    {
      "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.

    ---

    🤖 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/:

    bash
    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:

    bash
    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:

    bash
    # 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:

    code
    /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

    ---

    📡 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

    bash
    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

    bash
    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

    FlagEnv VarDefaultDescription
    --hostQUOTE_HOST0.0.0.0Host to bind
    --portQUOTE_PORT8765Port to bind
    --symbolsQUOTE_SYMBOLSXAUUSD,USOIL,GBPUSD,USDJPY,EURUSD,BTCUSDComma-separated symbols to stream
    --poll-intervalQUOTE_POLL_INTERVAL_MS100Tick 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:

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

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

    json
    {"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:

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

    Example: Connecting with Python

    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.

    ---

    💡 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

    bash
    # 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

    python
    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()

    ---

    📚 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

    ---

    🔧 Advanced Configuration

    Using Environment Variables

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

    env
    LOGIN=12345678
    PASSWORD=your_password
    SERVER=MetaQuotes-Demo
    
    # Optional: Specify custom MT5 terminal path (auto-detected if not provided)
    # PATH=C:\Program Files\MetaTrader 5\terminal64.exe

    Then start the server without arguments:

    bash
    metatrader-http-server

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

    MCP Transport Configuration

    The MCP server supports multiple transport modes:

    FlagEnv VarDefaultDescription
    --transportMCP_TRANSPORTsseTransport type: sse, stdio, streamable-http
    --hostMCP_HOST0.0.0.0Host to bind (SSE/HTTP only)
    --portMCP_PORT8080Port to bind (SSE/HTTP only)

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

    Custom Port and Host (HTTP API)

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

    Connection Parameters

    The MT5 client supports additional configuration:

    python
    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

    ---

    🗺️ Roadmap

    FeatureStatus
    MetaTrader 5 Connection✅ Complete
    Python Client Library✅ Complete
    MCP Server✅ Complete
    Claude Desktop Integration✅ Complete
    HTTP/REST API Server✅ Complete
    Open WebUI Integration✅ Complete
    OpenAPI Documentation✅ Complete
    PyPI Package✅ Published
    SSE Transport Support✅ Complete
    Google ADK Integration🚧 In Progress
    WebSocket Quote Server✅ Complete
    Docker Container📋 Planned

    ---

    🛠️ Development

    Setting Up Development Environment

    bash
    # 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

    code
    metatrader-mcp-server/
    ├── src/
    │   ├── metatrader_client/      # Core MT5 client library
    │   │   ├── account/            # Account operations
    │   │   ├── connection/         # Connection management
    │   │   ├── history/            # Historical data
    │   │   ├── market/             # Market data
    │   │   ├── order/              # Order execution
    │   │   └── types/              # Type definitions
    │   ├── metatrader_mcp/         # MCP server implementation
    │   ├── metatrader_openapi/     # HTTP/REST API server
    │   └── metatrader_quote/       # WebSocket quote streamer
    ├── tests/                      # Test suite
    ├── 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

    Contribution Guidelines

    • Fork the repository
    • Create a feature branch (git checkout -b feature/amazing-feature)
    • Make your changes
    • Write or update tests
    • Ensure tests pass (pytest)
    • Commit your changes (git commit -m 'Add amazing feature')
    • Push to the branch (git push origin feature/amazing-feature)
    • Open a Pull Request

    ---

    📖 Documentation

    • **Developer Documentation** - Detailed technical docs
    • **API Reference** - Complete API documentation
    • **Examples** - Code examples and tutorials
    • **Roadmap** - Feature development timeline

    ---

    🆘 Getting Help

    • Issues: GitHub Issues
    • Discussions: GitHub Discussions
    • LinkedIn: Connect with me

    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

    ---

    📝 License

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

    ---

    🙏 Acknowledgments

    • Built with FastMCP for MCP protocol support
    • Uses MetaTrader5 Python package
    • Powered by FastAPI for the REST API

    ---

    📊 Project Stats

    • Version: 0.4.1
    • Python: 3.10+
    • License: MIT
    • Status: Active Development

    ---

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