mcp-server-chart vs MCP-Airflow-API

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

	mcp-server-chart by antvis	MCP-Airflow-API by call518
Stars	★ 4,068	★ 46
30d uses	10,239	—
Score	84	45
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	Developer ToolsOps & InfraAI / LLM Tools
Language	TypeScript	Python
Last commit	this month	this month

mcp-server-chart · Summary

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

MCP-Airflow-API · Summary

MCP server enabling natural language control of Apache Airflow workflows through Model Context Protocol.

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

MCP-Airflow-API · Use cases

Airflow administrators managing DAGs and tasks through natural language commands
Operations teams monitoring workflow status and performance in large environments
Data engineers interacting with Airflow clusters using LLM assistants like Claude or GPT

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"]
    }
  }
}

MCP-Airflow-API · Install

Installation

Method 1: Direct Installation from PyPI

uvx --python 3.12 mcp-airflow-api

Method 2: Claude-Desktop MCP Client Integration

{
  "mcpServers": {
    "mcp-airflow-api": {
      "command": "uvx",
      "args": ["--python", "3.12", "mcp-airflow-api"],
      "env": {
        "AIRFLOW_API_VERSION": "v2",
        "AIRFLOW_API_BASE_URL": "http://localhost:8080/api",
        "AIRFLOW_API_USERNAME": "airflow",
        "AIRFLOW_API_PASSWORD": "airflow"
      }
    }
  }
}

Method 3: Docker Compose

git clone https://github.com/call518/MCP-Airflow-API.git
cd MCP-Airflow-API
cp .env.example .env
# Edit .env with your Airflow API settings
docker-compose up -d

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