everything vs django-ai-boost
Side-by-side comparison to help you pick between these two MCP servers.
everything by modelcontextprotocol | django-ai-boost by vintasoftware | |
|---|---|---|
| Stars | ★ 85,748 | ★ 88 |
| 30d uses | — | — |
| Score | 77 | 48 |
| Official | ✓ | — |
| Categories | Developer ToolsAI / LLM ToolsOther | Developer ToolsAI / LLM ToolsDatabase |
| Language | TypeScript | Python |
| Last commit | this month | 2 mo ago |
everything · Summary
Official MCP test server exercising all protocol features for client builders.
django-ai-boost · Summary
Django AI Boost is a production-ready MCP server for Django application introspection and analysis.
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
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
everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everythingdjango-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"
}
}
}
}