Develops a structured plan to decompose complex analysis goals into actionable steps, guiding users on execution order, incremental understanding, and how each step informs the next. Execute commands independently in bash.
Enables LLM assistants to explore Django project structure through read-only resources and optionally execute Python code in a stateful Django shell environment. Provides access to project configuration, app details, model information, and interactive development capabilities.
A Django app that implements Firebase Model Context Protocol server, enabling AI agents to interact with Firebase services (Authentication, Firestore Database, Cloud Storage) through a standardized protocol.
Provides a stateful Django shell environment that allows AI assistants to execute Python code directly against Django projects. Maintains persistent session state between calls, enabling iterative exploration of models, queries, and debugging.