MCP server for MetaTrader 5 with structured inputs and full library access
Project description
MetaTrader 5 MCP Server
MetaTrader 5 integration for Model Context Protocol (MCP). Provides read-only access to MT5 market data through Python commands.
⚡ What's New in v0.4.0
🔮 Prophet Time Series Forecasting
Predict future price movements based on historical data with confidence intervals.
🤖 XGBoost ML Trading Signals (NEW!)
Get buy/sell signal predictions with confidence scores using machine learning.
{
"query": {"operation": "copy_rates_from_pos", "symbol": "BTCUSD", "parameters": {"timeframe": "H1", "count": 168}},
"indicators": [
{"function": "ta.momentum.rsi", "params": {"window": 14}},
{"function": "ta.trend.sma_indicator", "params": {"window": 24}}
],
"forecast": {
"periods": 24,
"freq": "h",
"enable_ml_prediction": true,
"ml_lookback": 100,
"plot": true
}
}
📖 Documentation:
- USAGE.md - Comprehensive instructions, tool reference, and troubleshooting
- CHANGELOG.md - Release history and migration notes
Key Capabilities
- Read-only MT5 bridge – Safe namespace exposes only data-retrieval APIs and blocks all trading calls.
- Multiple interaction models – Write Python (
execute_mt5), submit structured MT5 queries (mt5_query), or run full analyses with indicators, charts, and forecasts (mt5_analyze). - Technical analysis toolkit –
ta,numpy, andmatplotlibship in the namespace for RSI, MACD, Bollinger Bands, multi-panel charts, and more. - Forecasting + ML signals – Prophet forecasting and optional XGBoost buy/sell predictions with confidence scoring.
- LLM-friendly guardrails – Clear tool descriptions, runtime validation, and result-assignment reminders keep assistant output predictable.
Available Tools
execute_mt5
Free-form Python execution inside a curated namespace. Ideal for quick calculations, prototyping, and bespoke formatting.
rates = mt5.copy_rates_from_pos('BTCUSD', mt5.TIMEFRAME_H1, 0, 100)
df = pd.DataFrame(rates)
df['RSI'] = ta.momentum.rsi(df['close'], window=14)
result = df[['time', 'close', 'RSI']].tail(10)
mt5_query
Structured JSON interface that maps directly to MT5 read-only operations with automatic validation, timeframe conversion, and friendly error messages.
{
"operation": "copy_rates_from_pos",
"symbol": "BTCUSD",
"parameters": {"timeframe": "H1", "count": 100}
}
mt5_analyze
Pipeline tool that chains a query → optional indicators → charts and/or Prophet forecasts (with optional ML signals) in one request.
{
"query": {
"operation": "copy_rates_from_pos",
"symbol": "BTCUSD",
"parameters": {"timeframe": "D1", "count": 180}
},
"indicators": [
{"function": "ta.trend.sma_indicator", "params": {"window": 50}},
{"function": "ta.momentum.rsi", "params": {"window": 14}}
],
"forecast": {"periods": 30, "plot": true, "enable_ml_prediction": true}
}
Prerequisites
- Windows OS (MetaTrader5 library is Windows-only)
- MetaTrader 5 terminal installed and running
- Python 3.10+
Installation
- Clone this repository:
git clone <repository-url>
cd MT5-MCP
- Install the package:
pip install -e .
This will install all required dependencies:
mcp- Model Context Protocol SDKMetaTrader5- Official MT5 Python librarypandas- Data manipulation and formattingprophet- Time series forecastingxgboost- Machine learning for trading signals (NEW!)scikit-learn- ML utilities and preprocessing (NEW!)ta- Technical analysis indicators
Configuration
Claude Desktop
Add to your Claude Desktop configuration file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"mt5": {
"command": "python",
"args": ["-m", "mt5_mcp"]
}
}
}
With Logging (for troubleshooting)
{
"mcpServers": {
"mt5": {
"command": "python",
"args": ["-m", "mt5_mcp", "--log-file", "C:\\path\\to\\mt5_mcp.log"]
}
}
}
Usage Overview
Refer to USAGE.md for a complete walkthrough that covers prerequisites, configuration screens, troubleshooting tips, and in-depth per-tool examples. Below is a quick multi-line example using execute_mt5:
from datetime import datetime, timedelta
end_date = datetime.now()
start_date = end_date - timedelta(days=30)
rates = mt5.copy_rates_range('EURUSD', mt5.TIMEFRAME_D1, start_date, end_date)
df = pd.DataFrame(rates)
df['time'] = pd.to_datetime(df['time'], unit='s')
df['return'] = df['close'].pct_change()
result = df[['time', 'close', 'return']].tail(10)
Note: Always assign the final output to result (or another variable noted in USAGE.md) so the MCP response can be formatted correctly.
Architecture & Compliance
- Built on
mcp.server.lowlevel.Serverwith stdio transport for Claude Desktop and other MCP clients. - Safe execution namespace exposes vetted objects (
mt5,datetime,pd,ta,numpy,matplotlib) while blocking trading calls and disallowed modules. - Runtime validation catches
mt5.initialize()/mt5.shutdown()attempts and highlights the correct workflow before execution. - Tool descriptions, examples, and parameter docs are synchronized with MCP SDK guidance for predictable LLM behavior.
- Optional
--log-fileflag streams structured diagnostics for easier debugging and auditing during deployments.
Troubleshooting
MT5 Connection Issues
- Ensure MT5 terminal is running before starting the MCP server
- Enable algo trading in MT5: Tools → Options → Expert Advisors → Check "Allow automated trading"
- Check MT5 terminal logs for any errors
Enable Logging
Run the server with logging enabled:
python -m mt5_mcp --log-file mt5_debug.log
Or configure it in Claude Desktop config (see Configuration section above).
Common Errors
"MT5 connection error: initialize() failed"
- MT5 terminal is not running
- MT5 is not installed
- Algo trading is disabled in MT5
"Symbol not found"
- Check symbol name spelling (case-sensitive)
- Symbol may not be available in your MT5 account
- Use
mt5.symbols_get()to see available symbols
"No data returned"
- Symbol may not have historical data for requested period
- Check date range validity
- Some symbols may have limited history
Security
This server provides read-only access to MT5 data. Trading functions are explicitly excluded from the safe namespace:
Blocked Functions
order_send()- Place ordersorder_check()- Check orderpositions_get()- Get positions (read-only but blocked to prevent confusion)positions_total()- Position count- All order/position modification functions
Only market data and information retrieval functions are available.
License
MIT License
Contributing
Contributions are welcome! Please ensure:
- All code follows the read-only philosophy
- Tests pass (when test suite is added)
- Documentation is updated
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