Skip to main content
Glama
Riffmax2030-hub

metatrader-mcp-server

UT Bot MetaTrader 5 Webhook Bridge & AI Agent

Automate your TradingView Pine Script alerts directly into MetaTrader 5 (MT5) with custom Stop Loss (SL) and Take Profit (TP) levels using FastAPI, ngrok, and the Antigravity developer agent.


🌟 How It Works

[TradingView Strategy Alert] 
          │ (Triggers & sends JSON payload)
          â–¼
[ngrok Tunnel (Public URL)]
          │ (Forwards to local machine)
          â–¼
[FastAPI Webhook Server]
          │ (Parses payload & gets current price)
          â–¼
[MetaTrader 5 Client]
          │ (Executes market order with SL & TP)
          â–¼
   [MT5 Terminal]

Related MCP server: MCP Trader Server

📋 Prerequisites

  1. Windows OS (required for the MetaTrader 5 Python SDK).

  2. Python 3.10+ installed.

  3. MetaTrader 5 Desktop Terminal installed and logged into your broker account.

  4. Algorithmic Trading Enabled:

    • Open MT5.

    • Go to Tools âž” Options âž” Expert Advisors.

    • Check "Allow algorithmic trading" and click OK.


🚀 Quick Start & Installation

Step 1: Install Dependencies

Install the required Python packages:

pip install fastapi uvicorn metatrader-mcp-server pydantic

Step 2: Configure Antigravity MCP Server

To allow Antigravity to check your balances, open positions, and manage trades using natural language, update your global Antigravity configuration file:

File Path: C:\Users\DATA ENG. OLA\.gemini\config\mcp_config.json

Add the "metatrader" server configuration:

{
  "mcpServers": {
    "metatrader": {
      "command": "C:\\Users\\DATA ENG. OLA\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python313\\Scripts\\metatrader-mcp-server.exe",
      "args": [
        "--login", "YOUR_MT5_LOGIN",
        "--password", "YOUR_MT5_PASSWORD",
        "--server", "YOUR_MT5_SERVER",
        "--transport", "stdio"
      ]
    }
  }
}

(Make sure to adjust the path to your python local-packages directory if it differs).


Step 3: Set Up the Webhook Bridge

Create the webhook_bridge.py file to receive and process alerts from TradingView. The script automatically handles symbol cleaning (removing exchange prefixes like EXNESS:) and resolves library-specific SL/TP validation bugs.

Running the Server

Run the webhook bridge on port 5001:

python webhook_bridge.py

Step 4: Expose the Port Using ngrok

Expose port 5001 to the internet to get a public URL for TradingView:

ngrok http 5001

Copy the generated Forwarding URL (e.g. https://your-subdomain.ngrok-free.dev).


📊 TradingView Integration

Step 1: Save the Pine Script

Create a new Pine Editor script in TradingView and paste the code from ut_bot_strategy.pine. Click Save and Add to chart.

Step 2: Set Up the Alert

  1. Press Alt + A to open the Create Alert dialog.

  2. Condition: Select UT Bot Strategy – Buy & Sell with SL/TP.

  3. Trigger: Select Alert() function calls only (crucial for sending dynamic JSON parameters).

  4. Webhook URL: Under the Notifications tab, check Webhook URL and paste your public ngrok URL with /webhook at the end: https://your-subdomain.ngrok-free.dev/webhook

  5. Alert Name: UT Bot MT5 Automation.

  6. Clear the Message box.

  7. Click Create.


🔒 Security Recommendations

  • Demo First: Always test with a demo/trial account before using real money.

  • Firewalling: Use an authentication mechanism or limit ngrok access if deploying to a production VPS.

F
license - not found
-
quality - not tested
C
maintenance

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Riffmax2030-hub/mt5-tradingview-ai-agent'

If you have feedback or need assistance with the MCP directory API, please join our Discord server