"A server for finding information about React Native mobile development framework" matching MCP servers:

Provides comprehensive React Native development assistance with expert-level automated code remediation, security vulnerability fixes, performance optimization, and production-ready code generation. Includes testing suite generation, dependency management, and accessibility compliance tools.

An MCP server for React Native development with Expo, offering automated code remediation, refactoring, testing, and analysis tools to accelerate development and enforce best practices.

An MCP server that connects to your React Native application debugger

Integrates Zoho Projects, Git, and SonarQube to automate task management, branch creation, code quality checks, and reporting for React developers.

Remote MCP server that gives coding agents verified, version-pinned answers about fast-moving frameworks, starting with Expo SDK 54.

MCP server providing AI coding assistants with documentation and source code for @gaddario98 React packages, including tools for listing packages, retrieving docs and types, and searching source.

An MCP server that runs parallel AI agents to analyze React components for performance issues, including unnecessary re-renders, memoization errors, bundle size problems, and profiling concerns.

Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.

Enables full-stack compiler development across the hw-native-sys workspace by combining repository operations (git health, code search, task running) with a knowledge layer for architecture docs, task routing, and abstraction/pass pipeline information.

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.

MCP server for Next2D application development that generates code following MVVM + Clean Architecture + Atomic Design patterns, validates architecture, and provides API references.

Lets coding agents statically scan Swift, Kotlin/Java, Dart, React Native and manifest files for crash-prone operators, main-thread deadlocks, missing accessibility labels, insecure token storage, cleartext traffic and vague permission strings, and cross-check platform APIs against Info.plist, PrivacyInfo.xcprivacy and AndroidManifest permission/exported settings. It also runs syntax or full build verification, returning FAIL on error-level findings so agents must fix issues before claiming work is done.

A Docker-managed MCP server for analyzing React codebases and generating component documentation from mounted workspaces. It enables users to scan projects, analyze JSX/TSX strings directly, and generate Markdown docs while ensuring safe path handling.

Enables AI agents to dynamically instrument Android and iOS apps through Frida 17, exposing 40 tools for exploring apps, hooking Java/ObjC/native methods, tracing calls, bypassing SSL pinning, capturing TLS keys and plaintext, and inspecting memory. Results use Ghidra/IDA-style module+offset addresses and carry an evidence envelope, with optional UI automation through mobile-mcp.

* analyze your react projects locally * consistent output w/ AST parsing + AI * create markdown docs, llm.txt for your react code at once

Enables AI agents to analyze and scaffold React/Next.js applications enforcing Feature-Sliced Design (FSD) conventions, providing tools for project analysis, rule retrieval, and entity generation.

An MCP server providing intelligent development assistance for WaveMaker React Native projects. This tool integrates with Cursor IDE to help developers solve bugs, optimize performance, analyze code, and generate tests.

Enables AI agents to profile React applications, detect performance bottlenecks, and automatically apply fixes like memoization and code hoisting.

An MCP server that enables AI assistants to analyze Android APK and iOS IPA files for security issues through natural language conversation, including permission auditing, secret detection, and SDK enumeration.

Enables MCP-compatible AI clients to analyze Android APK and iOS IPA files for security issues through natural language, including permission auditing, API endpoint extraction, hardcoded secret detection, Firebase inspection, and third-party SDK enumeration.

Provides comprehensive code analysis (quality, complexity, linting, dependencies, security) and web scraping capabilities (static/dynamic content, API discovery) for development workflows.

Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.

Autonomous code quality review and verification framework enforcing ISO/IEC 25010 and OWASP ASVS standards for AI-assisted engineering.

Indexes the locally-installed @trussworks/react-uswds package and helps code assistants discover components, inspect props, generate correct imports and usage snippets, and suggest appropriate components for UI use cases.

Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.

Contract-driven test enforcement and reporting for LLM-generated code via MCP, VS Code, Copilot CLI, Claude, Cursor, or Python SDK.

Enables AI assistants to inspect a pinned bot framework's source, documentation, symbols, examples, curated guidance, and public API diffs so they can write accurate bot code and plan upgrades.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.