"View React Documentation" matching MCP servers:

Connects AI tools to local dev servers, enabling them to view pages, call APIs, read/edit files, and run commands with safety guardrails.

Enables personal project documentation management through local markdown files stored in nested directories. Supports organizing context by project and layer (backend/frontend/fullstack) with search functionality across all documentation files.

A Model Context Protocol server that enables Claude to display and interact with images from the local filesystem, allowing users to view images directly in conversations and retrieve image metadata.

A Model Context Protocol server that provides development and debugging tools for Expo-based React Native applications, enabling developers to manage Expo servers, capture logs, and manipulate project files.

Makes local markdown documentation files automatically available to AI assistants through MCP, enabling them to search and read organized documentation folders without manual file registration.

Enables ChatGPT in Chat mode to read and write local files, view the screen, and control the macOS desktop, with target locking and local permission controls.

Exposes mobile system capabilities as MCP tools so AI agents can access clipboard, location, calendar, contacts, files, storage, networking, and device connectivity through standard transports. It applies permission policies and native adapters for integration into mobile apps without bundling an AI agent or host bridge.

A demonstration MCP server showcasing tools (calculator, file operations, weather, timestamp), resources (server config, system info, documentation), and reusable prompt templates for code review, documentation, and debugging.

A simple MCP server for local documentation with RAG capabilities, enabling AI assistants to access and search local documents.

Combines codebase files into a single prompt for AI assistants, enabling code review, documentation, and debugging via natural language.

An MCP server that delegates filesystem operations to a specialized React agent, reducing context usage and improving accuracy for AI applications like Claude Code.

Enables ChatGPT to read and write local files, view the screen, and operate Windows desktop windows, mouse, and keyboard through MCP stdio and OpenAI's Secure MCP Tunnel.

Enables AI agents to create, read, view, and edit Apple Numbers spreadsheets through the Model Context Protocol, leveraging both a parser engine and the Numbers application for formula evaluation and export.

Compresses React/Next.js files, HTML, and SVG into a compact JSXN notation optimized for AI assistants, reducing token consumption by ~40%. Provides an MCP server with tools to read, encode, and decode JSXN.

A Model Context Protocol server for interacting with Git repositories, extending mcp_server_git with custom tools to list repository directories and view file contents for easier codebase navigation.

Enables reading, creating, and editing files on the local filesystem through operations like view, create, string replacement, and line insertion.

Enables AI agents to browse and read notes and view images saved via a browser extension, including note text, source links, and selected images, all read-only and locally.

Exposes the agent's sandboxed file tool over stdio so any MCP client can retrieve the contents of a UTF-8 text file inside the working directory, with failures returned as recoverable error strings instead of exceptions. It lets the same ReAct loop swap in-process dispatch for an MCP hop without changing tool signatures.

A terminal-based MCP server that provides tools like web search, URL fetching, note management, and calculations, and connects them to a LangGraph ReAct agent for multi-step tasks.

Enables AI clients to view screens, run commands, and transfer files across a fleet of LAN-connected devices through a single MCP interface.