"React Hook Form" matching MCP servers:

heroicons-mcp is a Model Context Protocol (MCP) server that exposes Heroicons. It allows LLMs and agentic applications to search, list, and generate usage examples of icons in React applications.

This MCP server exposes a recommend_skills tool that a UserPromptSubmit hook calls to inject relevant context into the harness before a prompt is processed. It surfaces matching external skill listings only when a suggestion meets a confidence threshold, so unrelated prompts yield nothing.

Turns saved X posts and long-form articles into a private, searchable context base accessible via MCP. Lets coding agents import, search, read, and enrich the library using the user's existing browser session.

A Model Context Protocol server that enables AI assistants to interact with web pages through browser automation, supporting web scraping, form filling, navigation, and other browser-based tasks using Playwright.

Enables comprehensive interaction with Discord servers to manage guilds, channels, messages, and members through an agentic workflow. It supports RAG capabilities, rate-limited message operations, and includes a React-based dashboard for monitoring and configuration.

Persistent, semantically-searchable memory for AI agents using local PostgreSQL, pgvector, and Ollama embeddings, exposed via MCP with hybrid retrieval, knowledge graph, and auto-recall hook.

Enables AI assistants to save and recall information from files or free-form notes using natural language, acting as a long-term memory system.

Enables MCP clients to create and manage long-form story projects with isolated databases, persistent drafts, canonical continuity checks, controlled updates, and local semantic retrieval through MCP tools, resources, and prompts.

An MCP server aimed to be portable, local, easy and convenient to support semantic/graph based retrieval of txtai "all in one" embeddings database. Any txtai embeddings db in tar.gz form can be loaded

A Model Context Protocol server that enables LLMs to automate web browsers using Puppeteer, allowing navigation, screenshots, form filling, and JavaScript execution in a real browser environment.

An MCP service for AI-assisted reasoning and editing on long-form fiction projects. It builds a structured index from scene files for targeted context retrieval.

Enables document-grounded question answering, arithmetic calculations, live weather lookups, and persistent chat history through a ReAct agent with hybrid retrieval.

Automatically generates typed React hooks for Next.js projects by crawling API routes, GraphQL queries, and components. Analyzes pages to suggest optimal render modes (SSR/CSR/ISR) and produces comprehensive documentation with AI-powered guidance.

Exposes LangChain agent capabilities through the Model Context Protocol, enabling multi-step reasoning tasks with ReAct pattern execution via a production-ready FastAPI service deployed on Google Cloud Run.

An MCP server that enables AI agents to semantically retrieve premium UI components from Awwwards and adapt them into clean React + Tailwind code.

A custom MCP server providing semantic note memory (Qdrant + FastEmbed) and optional web search (Tavily) tools for a LangGraph ReAct agent.

A Model Context Protocol server that generates production-ready React components using the Reablocks design system through natural language processing.

A server that powers an interactive chatbot for querying and managing tax alerts in a SQLite database using Google Gemini models and LangGraph's REACT agent framework.

Provides pre-indexed knowledge packs for popular technologies (Stripe, React, etc.) that MCP-compatible agents can subscribe to and search, delivering citation-grounded answers with hourly fresh indexes.

A FastMCP server and web app for multi-tenant semantic search over personal document corpora, backed by Qdrant vector search and supporting MCP clients and a React dashboard.