mcp-server-chart vs django-mcp-server

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

	mcp-server-chart by antvis	django-mcp-server by gts360
Stars	★ 4,068	★ 332
30d uses	10,239	—
Score	84	50
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	Developer ToolsAI / LLM ToolsDatabase
Language	TypeScript	Python
Last commit	this month	2 mo ago

mcp-server-chart · Summary

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

django-mcp-server · Summary

Django MCP Server enables AI agents to interact with Django applications 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

django-mcp-server · Use cases

Enabling Claude AI or other LLM agents to query and manipulate Django application data
Converting existing Django Rest Framework APIs into MCP tools for AI agent consumption
Building AI-powered interfaces for Django applications with custom toolsets

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"]
    }
  }
}

django-mcp-server · Install

Installation

Install the package:

pip install django-mcp-server

Add to Django settings:

INSTALLED_APPS = [
    # your apps...
    'mcp_server',
]

Add URL patterns:

from django.urls import path, include

urlpatterns = [
    # your urls...
    path("", include('mcp_server.urls')),
]

Define MCP tools in mcp.py:

from mcp_server import ModelQueryToolset
from .models import *

class BirdQueryTool(ModelQueryToolset):
    model = Bird

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "django_mcp": {
      "command": "/path/to/interpreter/python",
      "args": [
        "/path/to/your/project/manage.py",
        "stdio_server"
      ]
    }
  }
}

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