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 gts360 · MCP Server · ★ 382
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is django-mcp-server safe to install? View the security audit →
Django MCP Server Django MCP Server is an implementation of the Model Context Protocol (MCP) extension for Django. This module allows MCP Clients and AI agents to interact with any Django application seamlessly. 🚀 Django-Style declarative style tools to allow AI Agents and MCP clients tool to interact with Django. 🚀 Expose Django models for AI Agents and MCP Tools to query in 2 lines of code in a safe way. 🚀 Convert Django Rest Framework APIs to MCP tools with one annotation. ✅ Working on both WSGI and ASGI without infrastructure change. ✅ Validated as a Remote Integration with Claude AI. 🤖 Any MCP Client or AI Agent supporting MCP , (Google Agent Developement Kit, Claude AI, Claude Desktop ...) can interact with your application. Many thanks 🙏 to all the contributor community Maintained ✨ with care by [Smart
| Stars | 382 |
| Forks | 60 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.1579028071585/100 |
| Open Issues | 19 |
| Last Updated | 2026-03-10 |
| Created | 2025-05-10 |
| Platforms | mcp, python |
| Est. Tokens | ~12k |
Looking for a django-mcp-server alternative? If you're comparing django-mcp-server with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A set of tools that gives agents powerful capabilities.
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Mode
A security scanner for your LLM agentic workflows
MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturall
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools,
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
Explore other popular mcp server tools:
django-mcp-server is Django MCP Server is a Django extensions to easily enable AI Agents to interact with Django Apps through the Model Context Protocol it works equally well on WSGI and ASGI. It is categorized as a MCP Server with 382 GitHub stars.
django-mcp-server is primarily written in Python. It covers topics such as agentic-ai, ai, django.
You can find installation instructions and usage details in the django-mcp-server GitHub repository at github.com/gts360/django-mcp-server. The project has 382 stars and 60 forks, indicating an active community.
django-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to django-mcp-server on Agent Skills Hub include tools, tuui, agentic-radar. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: