backend▌

Visualize Rust function call graphs with configurable depth and direction using LSP. \n \n Supports three query directions: incoming calls (who calls this), outgoing calls (what this calls), and bidirectional analysis \n Configurable traversal depth (default 3 levels) to control graph scope and complexity \n Generates ASCII tree visualizations with entry points, leaf functions, and hot path analysis \n Includes complexity insights and potential issues flagging (high fan-out, multiple callers) \n

WordPress Abilities API registration, REST exposure, and client-side consumption for WordPress 6.9+. \n \n Register abilities and categories in PHP using wp_register_ability() and wp_register_ability_category() with stable IDs, labels, and metadata \n Expose abilities to clients via the /wp-json/wp-abilities/v1/ REST endpoints by setting meta.show_in_rest: true \n Consume abilities in JavaScript using the @wordpress/abilities package for client-side access and permission checks \n Requires WordP

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

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

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

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

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

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 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