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Architectural patterns, API design, and database optimization for Node.js, Express, and Next.js backends. \n \n Covers repository, service, and middleware layers for clean separation of concerns; includes REST API structure with resource-based URLs and query parameters \n Database patterns include N+1 prevention, query optimization, transactions, and caching strategies (Redis, cache-aside) \n Error handling with centralized handlers, retry logic with exponential backoff, and structured logging f

Real-time bidirectional streaming with Gemini over WebSockets for audio, video, and text conversations. \n \n Supports audio input/output (16 kHz PCM), video frames, text, and automatic transcriptions with voice activity detection for interruption handling \n Includes native audio features: affective dialog, proactive audio, and thinking mode; function calling for synchronous and asynchronous tool use; and Google Search grounding \n Offers session management with context compression, resumption,

Multi-platform competitor analysis via Apify Actors for Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. \n \n Covers 25+ specialized Actors across seven platforms, each optimized for specific analysis types: business data extraction, review comparison, ad strategy monitoring, content performance, and audience insights \n Requires Apify token, Node.js 20.6+, and the mcpc CLI tool to fetch Actor schemas and run analyses dynamically \n Supports three output formats: quick chat d

Multi-platform content analytics via Apify Actors for Instagram, Facebook, YouTube, and TikTok. \n \n Supports 17+ specialized Actors covering posts, reels, stories, comments, hashtags, followers, and ads across all four platforms \n Dynamically fetches Actor schemas using mcpc CLI to determine required inputs and available output fields \n Outputs results in three formats: quick chat display, CSV export, or JSON export with customizable result counts \n Requires Apify token in .env file and Nod

Multi-platform lead scraping from Google Maps, social media, websites, and search engines. \n \n Supports 16+ Actors covering Google Maps, Instagram, TikTok, Facebook, YouTube, LinkedIn, Google Search, and contact enrichment \n Dynamically fetches Actor schemas via mcpc CLI to determine required and optional input parameters before execution \n Outputs results as quick chat summaries, CSV, or JSON files with configurable result limits \n Requires APIFY_TOKEN in .env file and Node.js 20.6+ for en

Modern Python package creation with pyproject.toml, setuptools, and PyPI publishing. \n \n Covers source layout (recommended), flat layout, and multi-package project structures with complete pyproject.toml examples \n Supports CLI tools via Click or argparse with entry point configuration, dynamic versioning, and namespace packages \n Includes build, distribution, and automated publishing workflows for PyPI with GitHub Actions integration \n Provides patterns for data files, C extensions, editab

Comprehensive testing strategies for JavaScript/TypeScript using Jest, Vitest, and Testing Library. \n \n Covers unit testing, integration testing, and component testing with patterns for pure functions, classes, async code, and React hooks \n Includes mocking strategies: module mocking, dependency injection, and spying on functions for isolated test execution \n Provides API and database integration test examples with real request/response handling and transaction cleanup \n Supports snapshot t

JavaScript/TypeScript SDK for running AI apps, building agents, and integrating 150+ models. \n \n Supports running AI apps with basic execution, fire-and-forget, and streaming progress modes; includes automatic file upload and stateful sessions to keep workers warm across calls \n Agent SDK enables both template-based agents from your workspace and ad-hoc agents with custom tools, system prompts, and temperature control \n Tool builder API provides four tool types: client tools (run in your cod

Complete TypeScript MCP server project generator with tools, resources, and transport configuration. \n \n Scaffolds a full Node.js/TypeScript project with @modelcontextprotocol/sdk, zod validation, and choice of HTTP (Express) or stdio transport \n Generates at least one production-ready tool with schema validation, error handling, and structured content responses \n Includes tsconfig.json with ES modules, proper package.json setup, and dev tooling (tsx/ts-node) \n Optionally adds resources wit

Execute arbitrary Python code in a sandboxed environment with 100+ pre-installed libraries. \n \n Supports data processing (NumPy, Pandas, SciPy), web scraping (requests, BeautifulSoup, Selenium, Playwright), and image/video manipulation (Pillow, OpenCV, MoviePy) \n Includes 3D model processing (trimesh, open3d), PDF generation (reportlab, pypdf2), and SVG creation (svgwrite, cairosvg) \n Configurable timeout (1–300 seconds), output capture, and working directory; optional high-memory variant (1