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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

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

ASP.NET Minimal API endpoints with automatic OpenAPI/Swagger documentation and strong typing. \n \n Organize endpoints using MapGroup() , endpoint filters, and feature-based folder structures for scalability \n Define explicit request/response DTOs with validation attributes; use record types and TypedResults for type safety \n Leverage .NET 9 built-in OpenAPI support with operation summaries, descriptions, operationIds, and property-level documentation via [Description()] \n Apply document and

Generate comprehensive API documentation from OpenAPI specs, code comments, and interactive examples. \n \n Supports OpenAPI/Swagger specification generation with full schema definitions, request/response examples, and security schemes \n Includes JSDoc and decorator-based documentation extraction from TypeScript/Express codebases for automatic spec generation \n Provides Swagger UI integration for interactive API exploration with try-it-out functionality \n Covers authentication patterns, pagin

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