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Multi-platform trend discovery and tracking across Google Trends, Instagram, Facebook, YouTube, and TikTok. \n \n Supports 19 specialized Apify Actors covering search trends, hashtag tracking, engagement metrics, and viral content discovery across five major platforms \n Dynamically fetches Actor schemas using mcpc CLI to retrieve input parameters and output fields before execution \n Outputs results in three formats: quick chat display, CSV export, or JSON export with customizable result counts

Centralized, typed configuration management using environment variables and pydantic-settings. \n \n Load and validate all configuration into typed objects at application startup, with required settings crashing immediately if missing \n Supports nested configuration groups, type coercion, custom validators, and environment-specific behavior switching \n Provides sensible defaults for local development while enforcing explicit values for secrets and production settings \n Integrates with .env fi

Static type checking with annotations, generics, protocols, and strict mode enforcement. \n \n Covers type annotations, generics with TypeVars, structural protocols, and type narrowing patterns for catching errors at analysis time \n Includes modern syntax (Python 3.10+ union types), bounded type variables, and generic repository patterns for type-safe APIs \n Provides configuration guidance for mypy strict mode and incremental adoption strategies for existing codebases \n Demonstrates 10 fundam

Scaffold a production-ready C# MCP server with tools, logging, and proper configuration. \n \n Generates a complete .NET 8.0+ console application with Host builder pattern, DI configuration, and stdio transport setup \n Includes automatic tool discovery via WithToolsFromAssembly() , attribute-based tool definitions, and structured logging routed to stderr \n Provides example tool implementations with parameter validation, async support, and McpProtocolException error handling \n Covers project s

Generate production-ready Go MCP server projects with proper structure, dependencies, and typed tool implementations. \n \n Scaffolds complete Go module layout with official MCP SDK integration, including main server setup, tool registration, and graceful shutdown handling \n Provides typed tool handlers with JSON schema validation, structured inputs/outputs, and context-aware error handling \n Includes configuration management via environment variables, basic test structure, and README document

Jest is the industry-standard testing framework with 70% market share, providing a mature, battle-tested ecosystem for TypeScript projects. It offers comprehensive testing capabilities with built-in snapshot testing, mocking, and coverage reporting.

Declarative policies, intent classification, and audit trails for controlling AI agent tool access and behavior. \n \n Composable governance policies define allowed/blocked tools, content filters, rate limits, and approval requirements — stored as configuration, not code \n Semantic intent classification detects dangerous prompts (data exfiltration, privilege escalation, prompt injection) before tool execution using pattern-based signals \n Tool-level governance decorator enforces policies at fu

Scaffold production-ready PHP MCP server projects with tools, resources, prompts, and tests. \n \n Generates complete project structure with composer.json, server.php, and PSR-4 autoloading configured for the official PHP SDK \n Supports three transport types (stdio, HTTP, or both) and includes attribute-based tool, resource, and prompt definitions with schema validation \n Provides templated examples for simple tools, validated parameters, enum-based operations, static resources, and dynamic re

Python SDK for building AI applications, agents, and integrations with 150+ inference.sh models. \n \n Supports sync and async execution with streaming progress updates, fire-and-forget task submission, and stateful sessions for warm worker continuity \n Agent SDK includes template agents, ad-hoc agent creation with custom tools, and built-in capabilities like web search, code execution, and image generation \n Tool builder API enables four tool types: client tools (run in your code), app tools

Complete Python MCP server project generator with tools, resources, and proper configuration. \n \n Scaffolds a new Python project using uv with MCP SDK, proper directory structure, and .gitignore \n Supports both stdio (local) and streamable-http (remote) transport types with optional host, port, and stateless mode configuration \n Generates decorated tools, resources, and prompts with automatic schema generation from type hints and docstrings \n Includes comprehensive error handling, async/awa