mcp-server-chart vs django-ai-boost
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | django-ai-boost by vintasoftware | |
|---|---|---|
| Stars | ★ 4,068 | ★ 88 |
| 30d uses | 10,239 | — |
| Score | 84 | 48 |
| 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-ai-boost · Summary
Django AI Boost is a production-ready MCP server for Django application introspection and analysis.
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-ai-boost · Use cases
- AI assistants analyzing Django project structure and relationships
- Developers querying Django settings and configurations
- Teams inspecting database schema and models through AI interfaces
mcp-server-chart · Install
Installation
Install globally:
npm install -g @antv/mcp-server-chartFor 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-ai-boost · Install
Installation
# Using uv (recommended)
uv pip install django-ai-boost
# Or with pip
pip install django-ai-boostClaude Desktop Configuration
Add to your Claude Desktop configuration:
- **macOS**:
~/Library/Application Support/Claude/claude_desktop_config.json - **Windows**:
%APPDATA%\Claude\claude_desktop_config.json - **Linux**:
~/.config/claude/claude_desktop_config.json
{
"mcpServers": {
"django": {
"command": "django-ai-boost",
"args": ["--settings", "myproject.settings"],
"env": {
"DJANGO_SETTINGS_MODULE": "myproject.settings"
}
}
}
}