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mcp-server-chart vs N8N2MCP

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

mcp-server-chart
by antvis
N8N2MCP
by Super-Chain
Stars★ 4,068★ 129
30d uses10,239
Score8445
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
Developer ToolsProductivityAI / LLM Tools
LanguageTypeScriptHTML
Last committhis month9 mo ago

mcp-server-chart · Summary

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

N8N2MCP · Summary

Convert N8N workflows into MCP servers for use in AI assistants like Claude and Cursor.

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

N8N2MCP · Use cases

  • Transform CSV/Excel files using N8N's data manipulation nodes
  • Connect AI assistants to external services like Slack, Google, etc.
  • Send emails, Slack messages, or Discord notifications triggered by AI interactions

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"]
    }
  }
}

N8N2MCP · Install

Installation

Prerequisites

  • Python 3.11+
  • N8N Instance (cloud.n8n.io or self-hosted)
  • Supabase Account
  • Playwright
  • Docker (optional)

Quick Start

Option 1: Docker Compose (Recommended)
  1. Clone the repository
git clone https://github.com/Super-Chain/N8N2MCP.git
cd N8N2MCP
  1. Configure environment
cp env.example .env
  1. Start with Docker Compose
docker-compose up -d
Option 2: Manual Installation
  1. Install dependencies
pip install -r requirements.txt
playwright install
  1. Configure environment
cp .env.example .env
  1. Start both servers
python main.py

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "n8n2mcp": {
      "command": "python",
      "args": ["mcp_router/mcp_router.py"],
      "env": {
        "SUPABASE_URL": "your-supabase-url",
        "SUPABASE_KEY": "your-supabase-key",
        "X_N8N_API_KEY": "your-n8n-api-key"
      }
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.