{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/4"}],"enrichment":{"capability":"Exposes Django models and custom logic as Model Context Protocol (MCP) tools, allowing AI agents and MCP clients to query and interact with Django applications through a standardized interface.","skillfed_tags":["ai-integration","protocol-bridge","django-extension"],"use_cases":["Enable Claude AI or other AI agents to query your Django models and retrieve data without direct database access.","Expose custom Django business logic (e.g., email sending, calculations) as MCP tools for AI agents to call.","Convert existing Django Rest Framework CRUD views into AI-callable operations with a single decorator.","Build local AI assistant workflows in Claude Desktop that interact with a development Django app.","Integrate Google Agent Development Kit or other MCP clients with a Django backend for autonomous agent tasks."],"what_it_does":"Django MCP Server bridges Django applications and AI agents by implementing the Model Context Protocol standard. It lets you expose Django models and custom business logic as callable tools that Claude AI, Google Agent Development Kit, and other MCP-compatible clients can discover and invoke. You define tool sets by subclassing provided base classes for model queries or custom methods, then register them in a configuration file. The package automatically generates MCP schemas, handles authentication, and serves the protocol endpoint without requiring infrastructure changes\u2014it works on both WSGI and ASGI Django deployments.\n\nThe package also bridges Django Rest Framework APIs directly into MCP tools via decorators, so existing DRF views become AI-callable operations. You can test tools locally with a management command, integrate with Claude Desktop for local development, or connect to Claude AI via HTTP with OAuth2 authentication. It has no known vulnerabilities and depends on mcp, django, djangorestframework, inflection, and uritemplate.","worth_installing":"Yes, if you are building AI agent integrations with Django. The package is permissively licensed, has low install friction, and directly solves the problem of exposing Django logic to MCP clients. The aging maintenance status (308 days since last release) is a minor concern for a stable, narrowly-scoped tool, but verify that OAuth2 setup matches your production security model before deploying."},"id":"django-mcp-server","links":{"html":"https://skillfed.io/packages/django-mcp-server","md":"https://skillfed.io/packages/django-mcp-server.md","pypi":"https://pypi.org/project/django-mcp-server/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-10-10","license_spdx":null,"license_treatment":"permissive","name":"django-mcp-server","python_support":"supports_current","summary":"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"},"popularity":{"monthly_downloads":204326,"position":9611,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.7"}