# Metatrader Mcp Server

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

- **Type:** MCP server
- **Install:** `agentstack add mcp-ariadng-metatrader-mcp-server`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ariadng](https://agentstack.voostack.com/s/ariadng)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [ariadng](https://github.com/ariadng)
- **Source:** https://github.com/ariadng/metatrader-mcp-server

## Install

```sh
agentstack add mcp-ariadng-metatrader-mcp-server
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

MetaTrader MCP Server

[](https://pypi.org/project/metatrader-mcp-server/)
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)

**Let AI assistants trade for you using natural language**

---

## 📑 Table of Contents

- [What is This?](#-what-is-this)
- [Features](#-features)
- [Who Is This For?](#-who-is-this-for)
- [Important Disclaimer](#%EF%B8%8F-important-disclaimer)
- [Prerequisites](#-prerequisites)
- [Quick Start](#-quick-start)
- [Trading Assistant Skill](#-trading-assistant-skill-claude-code--claude-desktop)
- [Usage Examples](#-usage-examples)
- [Available Operations](#-available-operations)
- [WebSocket Quote Server](#-websocket-quote-server)
- [Advanced Configuration](#-advanced-configuration)
- [Roadmap](#%EF%B8%8F-roadmap)
- [Development](#%EF%B8%8F-development)
- [Contributing](#-contributing)
- [Documentation](#-documentation)
- [Getting Help](#-getting-help)
- [License](#-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

```
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](https://www.python.org/downloads/)
2. **MetaTrader 5 terminal** - [Download here](https://www.metatrader5.com/en/download)
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](#-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:

```
/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

| 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:
```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)
# MT5_PATH=C:\Program Files\MetaTrader 5\terminal64.exe
```

Then start the server without arguments:

```bash
metatrader-http-server
```

The server will automatically load credentials f

…

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ariadng](https://github.com/ariadng)
- **Source:** [ariadng/metatrader-mcp-server](https://github.com/ariadng/metatrader-mcp-server)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** yes
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** yes
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-ariadng-metatrader-mcp-server
- Seller: https://agentstack.voostack.com/s/ariadng
- Browse the marketplace: https://agentstack.voostack.com/browse

---
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