QMT-MCP vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	QMT-MCP by guangxiangdebizi	filesystem by modelcontextprotocol
Stars	★ 181	★ 85,748
30d uses	—	—
Score	45	77
Official	—	✓
Categories	FinanceDeveloper ToolsAI / LLM Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	10 mo ago	this month

QMT-MCP · Summary

QMT-MCP is a modular quantitative trading system integrating FastMCP with XTQuant for intelligent strategy generation and real-time trading execution.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

QMT-MCP · Use cases

AI assistant helping traders implement and execute quantitative strategies
Automating stock trading decisions based on generated signals
Backtesting trading strategies with performance metrics

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

QMT-MCP · Install

Installation Steps

Requirements

Python 3.8+
XTQuant/QMT client (installed on Windows)

Setup

Clone the repository

git clone https://github.com/guangxiangdebizi/QMT-MCP
cd QMT-MCP

Install dependencies

pip install -r requirements.txt

Create .env file with your configuration (see README for details)

Start XTQuant client and ensure login

Start the QMT-MCP server

python main.py

Claude Desktop Integration

Add to Claude Desktop configuration:

{
  "mcpServers": {
    "quantmcp": {
      "command": "python",
      "args": ["path/to/QMT-MCP/main.py"],
      "env": {
        "QMT_PATH": "your QMT installation path\userdata_mini"
      }
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.