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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

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 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

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

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

Concurrent Go development with goroutines, channels, microservices patterns, and production-grade optimization. \n \n Implements idiomatic Go 1.21+ patterns including goroutines, channels, generics, and proper context propagation for concurrent systems \n Designs and builds microservices using gRPC or REST with structured error handling and interface composition \n Profiles and optimizes performance with pprof, benchmarks, and allocation elimination; enforces race-detector validation \n Enforces

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

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

Production-ready Dataverse SDK patterns with error handling, batch operations, and optimization techniques. \n \n Demonstrates exponential backoff retry logic for transient errors, batch CRUD operations with error recovery, and OData query optimization using filters, selects, expands, and paging with correct logical names \n Covers table metadata creation and inspection, custom column definitions with IntEnum option sets, and cache flushing strategies when schema changes \n Includes configuratio