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Automated OpenAPI 3.0 documentation generation for Spring Boot 3.x REST APIs with Swagger UI. \n \n Integrates SpringDoc to auto-generate OpenAPI specs from annotated controllers, models, and validation rules without manual configuration \n Supports JWT Bearer, OAuth2, and Basic Auth security documentation with global scheme configuration and per-endpoint security requirements \n Includes comprehensive annotation patterns for documenting endpoints, request/response bodies, parameters, error resp

Connect AI agents to GraphQL APIs through the Model Context Protocol with built-in introspection and operation tools. \n \n Exposes GraphQL operations as MCP tools; supports three operation sources: local files, GraphOS Studio collections, and persisted query manifests \n Provides four introspection tools (introspect, search, validate, execute) for schema exploration and ad-hoc query testing; minification mode reduces token usage with compact notation \n Configurable authentication via static he

Navigate Rust code using Language Server Protocol for definitions, references, and symbol information. \n \n Supports three core LSP operations: go to definition, find references, and hover information for type/documentation lookup \n Handles workspace symbol search with disambiguation when multiple results exist, plus file-specific navigation with line numbers \n Includes error handling for missing rust-analyzer, typos, and generics/macros that produce multiple definitions \n Output formatted a

Negotiate job offers and compensation using strategies from product leaders. \n \n Focuses on identifying success factors beyond salary (tech debt, headcount, budget) and negotiating for those before discussing compensation \n Emphasizes collaborative language (\"Are you open to...?\") and live conversations with hiring managers over email negotiations \n Helps distinguish whether salary is the real goal or a proxy for respect, learning, autonomy, or growth \n Suggests alternative arrangements l

Type-first Python development using dataclasses, discriminated unions, NewType, and Protocol to make illegal states unrepresentable. \n \n Define data models and function signatures before implementation; use frozen dataclasses, Literal-based discriminated unions, and NewType for domain primitives to prevent invalid states at type-check time \n Leverage Protocol for structural typing, TypedDict for external data shapes, and exhaustive pattern matching with match statements to catch incomplete lo

Structured logging, metrics, and distributed tracing patterns for Python production systems. \n \n Covers four core observability areas: structured JSON logging with structlog, Prometheus metrics for the four golden signals (latency, traffic, errors, saturation), correlation ID propagation across service boundaries, and OpenTelemetry distributed tracing \n Includes semantic log level guidance, bounded cardinality rules for metrics to prevent storage explosion, and context manager patterns for co

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

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