Django AI Boost is an MCP server designed for developing Django applications, providing tools for project introspection and interaction with AI assistants.
From the registry: A Model Context Protocol (MCP) server for Django applications, inspired by Laravel Boost

$ pip install django-ai-boostPlease install the `django-telescope` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.12+** — Python 3.12 or higher is required.
- **Django 4.2+** — Existing Django project with settings module accessible.
- **Install django-ai-boost** — Install the package (via uv or pip). Run: `pip install django-ai-boost`
Canonical MCP server config (stdio transport):
- command: `django-ai-boost`
- args: ["--settings","myproject.settings"]
- required environment variables:
- `DJANGO_SETTINGS_MODULE`: Python path of your Django settings module. (example: `myproject.settings`)
- optional environment variables:
- `PYTHONPATH`: Path to your Django project root so imports resolve. (example: `/path/to/your/django/project`)
- `DJANGO_MCP_AUTH_TOKEN`: Bearer token for SSE transport auth (required in production DEBUG=False). (example: `<your-secret-token>`)
- `DJANGO_MCP_MAX_LOG_LINES`: Default number of log lines returned by read_recent_logs. (example: `100`)
Note: Supports both stdio (default) and SSE transports. SSE requires DJANGO_MCP_AUTH_TOKEN when Django DEBUG=False. Published on PyPI as django-ai-boost.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.DJANGO_SETTINGS_MODULErequiredSpecifies the Django settings module to use.DJANGO_MCP_AUTH_TOKENrequiredAuthentication token for secure production deployments.Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.