mcp-server-chart vs QMT-MCP

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

	mcp-server-chart by antvis	QMT-MCP by guangxiangdebizi
Stars	★ 4,068	★ 181
30d uses	10,239	—
Score	84	45
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	FinanceDeveloper ToolsAI / LLM Tools
Language	TypeScript	Python
Last commit	this month	10 mo ago

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

QMT-MCP · Summary

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

mcp-server-chart · Use cases

Data analysts creating visual reports from datasets
AI assistants generating custom charts based on user requests
Web applications embedding visualization capabilities via HTTP API

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

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For Desktop Apps (e.g., Claude Desktop, VSCode):

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"]
    }
  }
}

For Windows:

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
    }
  }
}

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"
      }
    }
  }
}

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