"React Hook Form" matching MCP servers:

Provides comprehensive tools for React Native development, automating project initialization, version management, upgrades, Expo integration, and development workflows through AI assistance.

react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts

A Model Context Protocol server that provides AI assistants with access to ReactBits.dev components - a collection of 135+ animated React components for creative developers.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Enables AI-driven frontend component design and code generation from natural language requirements. Supports Vue, React, and Angular with intelligent component decomposition, API design, and complete project generation.

An MCP server that provides CPU emulation, disassembly, and assembly tools for LLM agents across multiple architectures including x86, ARM, and RISC-V. It enables agents to manage isolated emulation sessions, perform memory analysis, hook syscalls, and trace execution through a standard tool interface.

It lets MCP clients evaluate a single Emacs Lisp form in an already-running Emacs instance through one tool, enabling agents to discover and invoke built-in, package, and user-defined capabilities from the live runtime.

A bridge between Figma designs and React implementations that enables pixel-perfect conversion of Figma designs into React applications by processing Figma file data into React-friendly format.

Bridges Claude Desktop with Claude Code CLI to delegate complex coding tasks like creating React apps, building APIs, and debugging scripts while maintaining interaction through the Desktop interface.

Voice Mode for Claude Code

A server that integrates trained Random Forest models with Bee Framework, enabling ReAct interactivity for AI tools and agents.

Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.

An extensible Model Context Protocol server that enables AI assistants like Claude to generate React Native components and perform development tasks through a standardized interface.

Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.

Turns any LLM into a coding co-pilot with production-ready MCP server providing lint, test, execution, generation, and graph tools. Features Neo4j persistence, OpenAI Agent integration, REST API, and React frontend for comprehensive code development assistance.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

A starter template for creating MCP servers that work with Puch AI, featuring ready-to-use tools for job searching and image processing. Includes examples for Bearer token authentication, OAuth integration with Google and GitHub, and demonstrates user-scoped data management.

An implementation of the Recursive Language Models architecture that enables AI agents to process massive documents by programmatically decomposing them into sub-queries. It allows for cost-effective and accurate reasoning across millions of tokens by treating long-form data as an external environment for root and worker models.

Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.

Enables AI assistants to automate Next.js development including project scaffolding, React component generation, API route creation, and full-stack application workflows with TypeScript and Tailwind CSS support.