Skip to main content

Model Context Protocol (MCP) server built with Python to enable AI LLMs to trade using MetaTrader platform.

Project description

MetaTrader MCP Server

This is a Model Context Protocol (MCP) server built with Python to enable AI LLMs to trade using MetaTrader platform.

MetaTrader MCP Server

Disclaimer

Financial trading involves significant risk, and the developers of this package disclaim any liability for any losses or profits; this package is provided solely to facilitate MetaTrader 5 trade executions via AI LLMs using the Model Context Protocol (MCP). By using this package, you assume all risks and agree not to hold the developers liable or to initiate any legal action for any damages, losses, or profits.

Updates

  • April 23, 2025: Published to PyPi (0.2.0)
  • April 16, 2025: We have our first minor version release (0.1.0)

Installation Guide

Make sure you have Python version 3.10+ and MetaTrader 5 terminal installed in your workspace. Then install the package:

pip install metatrader-mcp-server

Then you need to enable algorithmic trading on MetaTrader 5 terminal. Open Tools > Options and check Allow algorithmic trading.

Claude Desktop Integration

To use this package to enable trading operations via Claude Desktop app, please add this into your Claude Desktop configuration:

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

Other LLMs using Open WebUI

You can use this MCP server with other LLMs such as OpenAI's GPT by using its HTTP server and Open WebUI.

To start, make sure you have installed the package. Then, run the server:

metatrader-http-server --login <YOUR_MT5_LOGIN> --password <YOUR_MT5_PASSWORD> --server <YOUR_MT5_SERVER> --host 0.0.0.0 --port 8000

It will launch HTTP server locally on port 8000 and automatically launch MetaTrader 5 terminal.

On Open WebUI settings page, navigate to Tools menu. Then click plus button on "Manage Tool Servers". Add http://localhost:8000 (or whatever you set your port is).

Open WebUI - Add Connection

If all is well, you can now access the tools via chat using available models, such as gpt-4o or o4-mini.

Open WebUI - Chat

Project Roadmap

For full version checklist, see version-checklist.md.

Task Status Done Tested
Connect to MetaTrader 5 terminal Finished
Develop MetaTrader client module Finished
Develop MCP Server module Finished
Implement MCP tools Finished
Publish to PyPi Finished
Claude Desktop integration Finished
OpenAPI server Finished -
Open WebUI integration - - -

Developer Documentation

For developers, see Developer's Documentation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

metatrader_mcp_server-0.2.3.tar.gz (49.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

metatrader_mcp_server-0.2.3-py3-none-any.whl (85.0 kB view details)

Uploaded Python 3

File details

Details for the file metatrader_mcp_server-0.2.3.tar.gz.

File metadata

  • Download URL: metatrader_mcp_server-0.2.3.tar.gz
  • Upload date:
  • Size: 49.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for metatrader_mcp_server-0.2.3.tar.gz
Algorithm Hash digest
SHA256 88503c806ddfc8c50511f6f3e2689648034a77e177127dd93ac8d11c1e89426b
MD5 5e9d97c215cdb398a661394d14f796b9
BLAKE2b-256 46442395bb7872e654ac5eff980547e312718462f7f9fa39e4ab8e984cdeabcb

See more details on using hashes here.

File details

Details for the file metatrader_mcp_server-0.2.3-py3-none-any.whl.

File metadata

File hashes

Hashes for metatrader_mcp_server-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0587692cc3a1c969aa2deff7e35d90199b7e94a67580c9cb4623ec4a2f6dfa07
MD5 fb820ec7e1e030a2bcae45840a2acf01
BLAKE2b-256 61c8c4fafc37385997854c8c0e3c274bebf58e124a1fa03a6d64c677a754b8e4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page