No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vintasoftware · MCP Server · ★ 110
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🔒 Is django-ai-boost safe to install? View the security audit →
Django AI Boost A Model Context Protocol (MCP) server for developing Django applications, inspired by Laravel Boost. This server exposes Django project information through MCP tools, enabling AI assistants to better understand and interact with Django codebases. Table of Contents Features Screenshots Installation For End Users For Development Usage Running the Server Authentication AI Tools Setup Cursor Claude Desktop Github Copilot (VS Code) Claude Code (VS Code) OpenAI ChatGPT Desktop Cline (VS Code) Zed Editor Generic MCP Client Available Tools Example Usage Development & Testing Troubleshooting Requirements Contributing License Features Project Discovery: List models, URLs, and management commands Database Introspection: View schema, migrations, and relationships Configu
| Stars | 110 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.3314580392541/100 |
| Last Updated | 2026-07-31 |
| Created | 2025-10-17 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~19k |
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django-ai-boost is A MCP server for Django applications, inspired by Laravel Boost.. It is categorized as a MCP Server with 110 GitHub stars.
django-ai-boost is primarily written in Python. It covers topics such as claude-code, django, mcp-server.
You can find installation instructions and usage details in the django-ai-boost GitHub repository at github.com/vintasoftware/django-ai-boost. The project has 110 stars and 4 forks, indicating an active community.
django-ai-boost is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to django-ai-boost on Agent Skills Hub include opencode-primer, kindly-web-search-mcp-server, daymon. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.