django-mcp-server
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
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10 and Django 4 or 5.
- For Claude AI integration, OAuth2 setup is needed.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2025-10-10 (308 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 204,326 downloads/mo, #9,611 on PyPI
Alternatives
Verify before relying
pip install django-mcp-server
# Add to INSTALLED_APPS in settings.py
INSTALLED_APPS = [
'django-mcp-server',
]
# Add to urls.py
from django.urls import path, include
urlpatterns = [
path('', include('mcp_server.urls')),
]
# Create tool definitions, then verify with management command- Whether OAuth2 setup is mandatory for production Claude AI integration or optional for other MCP clients.
- Performance characteristics and scalability limits when exposing large Django model querysets or complex APIs.
- Compatibility with Django versions prior to 4 or Python versions below 3.10.
What it is and 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—it works on both WSGI and ASGI Django deployments.
The 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
django-mcp-server on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Maintenance status is aging—last release was 308 days ago—so expect slower response to issues, though actively maintained.
Requires Python >=3.10 and Django 4 or 5. For Claude AI integration, OAuth2 setup is needed.
License in practice
MIT license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install django-mcp-server
# Add to INSTALLED_APPS in settings.py
INSTALLED_APPS = [
'django-mcp-server',
]
# Add to urls.py
from django.urls import path, include
urlpatterns = [
path('', include('mcp_server.urls')),
]
# Create tool definitions, then verify with management commandVerify before relying
- Whether OAuth2 setup is mandatory for production Claude AI integration or optional for other MCP clients.
- Performance characteristics and scalability limits when exposing large Django model querysets or complex APIs.
- Compatibility with Django versions prior to 4 or Python versions below 3.10.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesmcpdjangodjangorestframeworkinflectionuritemplate |
| Maintenance | Aging 308 days since the last release |
| First released | |
| Downloads | 204,326 / month, #9,611 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Framework :: DjangoFramework :: Django :: 4Framework :: Django :: 5License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3 |
Evidence: django_mcp_server-0.5.7-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “django model context protocol”
- django-mcp-serverExposes Django models and custom logic as Model Context Protocol…
- django-currentuserStores a reference to the currently logged-in request user at the…
- mcp-typesProvides the wire types and protocol message models for the Model…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also mcp-server-odoo · wikipedia-mcp · fastmcp-extensions · pagerduty-mcp · mcp-server-appwrite · blender-mcp · tilt-mcp · ha-mcp · mcp-proxy-for-aws · fastapi-mcp