search_django_docs

MCP tool from Django Ai Boost by vintasoftware

Generate a formatted prompt to help search for specific topics in Django documentation.

How to use it

Project documentation lists search_django_docs for the Django Ai Boost MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.

Install Django Ai Boost

$uv pip install django-ai-boost
FULL DJANGO AI BOOST LISTING

Other tools in Django Ai Boost (13)

application_info

Get Django and Python versions, installed apps, middleware, database engine, and debug mode status.

database_schema

Get complete database schema including tables, columns, types, indexes, and foreign keys.

get_absolute_url

Get the absolute URL for a specific model instance. Requires the model to have a getabsoluteurl() method defined.

get_setting

Retrieve any Django setting using dot notation (e.g., DATABASES.default.ENGINE).

list_management_commands

List all available manage.py commands with their source apps.

list_migrations

View all migrations per app with their applied/unapplied status.

list_models

List all Django models with fields, types, maxlength, null/blank status, and relationships.

list_urls

Show all URL patterns with names, patterns, and view handlers (including nested includes).

macOS

~/Library/Application Support/Claude/claudedesktopconfig.json

query_model

Query a Django model with read-only operations using the Django ORM manager. This tool allows safe querying of any Django model with filtering, ordering, and pagination.

read_recent_logs

Read recent lines from file-based log handlers configured in LOGGING.handlers.

reverse_url

Reverse a named URL pattern to get its actual URL path. Supports both positional args and keyword arguments.

run_check

Run Django's system checks to identify potential issues in models, settings, and deployment configuration.