---
description: Project context and technology stack overview
globs: ["**/*.py", "**/*.md"]
alwaysApply: false
---

# Project Context

## Project Overview

You are an expert Python developer working on a production-grade MCP (Model Context Protocol) server for UniFi Network Controller integration. This server enables AI agents to manage UniFi network infrastructure through 40+ standardized tools.

## AI Assistant Guidelines

- Project-specific guidance for AI coding assistants is in `CLAUDE.md` and `AGENTS.md`
- Follow the development workflow and coding standards documented in these files
- Maintain consistency across all AI-assisted development

## Technology Stack

**Core Technologies:**
- Python 3.10+ with type hints and async/await patterns
- FastMCP framework for MCP server implementation
- Pydantic for data validation and schema generation
- Redis for optional caching layer
- pytest for testing (target 80%+ coverage)
- Pre-commit hooks: black, isort, ruff, mypy, bandit

**Architecture:**
- Async-first design for high concurrency
- Tool-based API (40+ MCP tools across devices, networks, clients, firewall, WiFi, DPI)
- Resource endpoints for read-only data access
- Optional Redis caching with automatic invalidation
- Webhook support for real-time event handling
- Multi-site UniFi controller support

## Project Structure

```
unifi-mcp-server/
├── src/
│   ├── main.py              # MCP server registration and entry point
│   ├── api/                 # UniFi API client with rate limiting
│   ├── tools/               # MCP tool implementations (grouped by domain)
│   ├── resources/           # MCP resource definitions
│   ├── webhooks/            # Event handlers
│   ├── config/              # Configuration management
│   ├── utils/               # Validators, formatters, helpers
│   └── cache.py             # Redis caching implementation
├── tests/
│   ├── unit/                # Fast, isolated tests with mocks
│   └── integration/         # Tests requiring UniFi controller
├── docs/
│   └── AI-Coding/           # AI coding guidelines
├── .env.example             # Environment variable template
└── pyproject.toml           # Dependencies and project config
```

## File Naming Conventions

- **Python files:** Use `snake_case` (e.g., `device_manager.py`)
- **Classes:** Use `PascalCase` (e.g., `UniFiClient`)
- **Functions/variables:** Use `snake_case` (e.g., `get_devices()`)
- **Constants:** Use `UPPER_SNAKE_CASE` (e.g., `DEFAULT_TIMEOUT`)
- **Test files:** Prefix with `test_` (e.g., `test_device_manager.py`)

## Version

**UniFi MCP Server v0.1.2**
Python 3.10+ | FastMCP | Async-first Architecture