"Building Visually Appealing, Modern Websites Using React with Trending UI Designs" matching MCP servers:

An MCP server that connects to your React Native application debugger

Provides AI agents with visibility into React applications by exposing tools to inspect component state, props, and performance metrics. It enables debugging and state analysis for both web and React Native applications through the Model Context Protocol.

Bridges React Native DevTools, enabling AI assistants to debug, profile, and inspect React Native applications through a standardized protocol.

Streams live React profiler data to AI agents, enabling them to analyze performance and suggest specific, actionable fixes for slow components.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

Enables real-time data streaming through Server-Sent Events with timestamp broadcasting and server monitoring capabilities. Optimized for deployment on Render.com with health checks and status endpoints.

Enables querying and analyzing Falco security events from Falcosidekick UI through MCP tools. Supports filtering events by time windows and retrieving full event details for security monitoring and incident investigation.

Provides tools for obtaining system CPU and memory statistics through FastAPI endpoints exposed via MCP.

Enables AI assistants to inspect React Native app performance including memory, rendering, frames, and network requests, providing plain-language summaries and shareable reports.

An MCP server that gives AI agents hands-on control of a live React Native app, enabling UI taps, screenshots, UI/component trees, native logs, and JS/React profiling to debug, verify fixes, and diagnose performance issues.

Provides comprehensive access to AWS Trusted Advisor checks and recommendations through both legacy and modern APIs, with support for AWS Organizations.

Monitors MCP protocol traffic across legacy and modern lanes, records usage evidence in a durable SQLite ledger, and recommends when the legacy fallback can safely be removed.

Enables users to ask about render performance in React and React Native apps via natural language, exposing tools for listing render hotspots and explaining component re-renders.

Provides structured MCP tools for local runtime observability and debugging of React Native/Expo apps on Android, enabling evidence-first diagnostics such as screenshots, UI trees, per-request network capture, performance metrics, and CDP-based console/heap/profiling exports.

A TypeScript server that allows AI agents to access, retrieve, and analyze Sentry error data through the Modern Context Protocol.

An AI-powered server that analyzes system log files to identify errors/warnings and recommend fixes using FastMCP, LangGraph ReAct agents, and Anthropic Claude.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enables interaction with Google Analytics 4 data through the Google Analytics Data API. Built using Google ADK UI and deployed on Google Cloud Platform with proper service account authentication for GA4 data access.

Enables exploring and diagnosing a Redis instance from MCP clients with read-only safety, using SCAN instead of KEYS for safe key enumeration.

Uptime monitoring for websites, APIs, SSL certificates, domain expiry, ping and TCP/UDP ports. 15 tools to list, create, pause and delete monitors, pull incident timelines with error codes, and read hourly or daily uptime and response-time statistics.