mcp-server-chart vs zerodha-mcp

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

	mcp-server-chart by antvis	zerodha-mcp by mtwn105
Stars	★ 4,068	★ 30
30d uses	10,239	—
Score	84	35
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	FinanceAI / LLM ToolsProductivity
Language	TypeScript	Python
Last commit	this month	13 mo ago

mcp-server-chart · Summary

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

zerodha-mcp · Summary

A Python-based MCP server for Zerodha trading with interactive chat interface and multi-agent support.

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

zerodha-mcp · Use cases

Building AI-powered trading assistants for Zerodha users
Automating trading operations through natural language commands
Creating web-based trading interfaces with AI capabilities

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"]
    }
  }
}

zerodha-mcp · Install

Installation

Clone the repository:

git clone https://github.com/mtwn105/zerodha-mcp-server-client.git
cd zerodha-mcp-server-client

Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

Install dependencies:

pip install -r requirements.txt

Set up environment variables:

cp .env.example .env
# Edit .env with your credentials

Claude Desktop Configuration

Add to your Claude Desktop config.json:

{
  "mcpServers": {
    "zerodha": {
      "command": "python",
      "args": ["/path/to/zerodha-mcp-server-client/server.py"],
      "env": {
        "ZERODHA_API_KEY": "your_api_key",
        "ZERODHA_API_SECRET": "your_api_secret",
        "PORT": "8001"
      }
    }
  }
}

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