django-stateless-mcp
Provides tools for interacting with Django, enabling AI agents to manage Django models, queries, and other ORM operations through the MCP server.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@django-stateless-mcpshow me all models in my app"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
django-stateless-mcp
Stateless Model Context Protocol (MCP) server for Django, built on the 2026-07-28 spec.
GitHub | PyPI | Documentation
Created by Ben Atkinson | GitHub @BenA-SA | PyPI @streamlined-analytics
MIT License
Features
TODO
Related MCP server: MCP Server
Documentation
Documentation is built with Zensical and deployed to GitHub Pages.
Live site: https://Streamlined-Analytics.github.io/django-stateless-mcp/
Preview locally:
just docs-serve(serves at http://localhost:8000)Build:
just docs-build
API documentation is auto-generated from docstrings using mkdocstrings.
Docs deploy automatically on push to main via GitHub Actions. To enable this, go to your repo's Settings > Pages and set the source to GitHub Actions.
Development
To set up for local development:
# Clone your fork
git clone git@github.com:your_username/django-stateless-mcp.git
cd django-stateless-mcp
# Install in editable mode with live updates
uv tool install --editable .This installs the CLI globally but with live updates - any changes you make to the source code are immediately available when you run django_stateless_mcp.
Run tests:
uv run pytestRun quality checks (format, lint, type check, test):
just qaAuthor
django-stateless-mcp was created in 2026 by Ben Atkinson.
Built with Cookiecutter and the audreyfeldroy/cookiecutter-pypackage project template.
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