Artifacts — self-hosted artifact publishing (HTML/JSX/Markdown/zip → unguessable URL)
Artifacts is a self-hosted service that lets you publish HTML, JSX/TSX React components, Markdown, or zipped static sites to public, unguessable URLs…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2827 servers · Page 108 of 236
Artifacts is a self-hosted service that lets you publish HTML, JSX/TSX React components, Markdown, or zipped static sites to public, unguessable URLs…
XcodeBuildMCP is a Model Context Protocol (MCP) server and CLI that provides tools for AI coding agents working on iOS and macOS projects.
Desktop Commander MCP is a Model Context Protocol server that lets AI assistants (like Claude Desktop) search, update, manage files, and run terminal… 4…
Desktop Commander is an MCP server that gives AI assistants capabilities to search, update, manage files, and run terminal commands on a user's… 4…
Windows-MCP is a lightweight, open-source MCP server that bridges AI agents (LLMs) with the Windows operating system.
Desktop Commander MCP is a Model Context Protocol server that enables AI assistants to search, update, manage files, and run terminal commands on a……
Memorybear MCP Server: MemoryBear Equip AI with human-like memory capability.
Connect AI assistants to OPC UA equipment and historians. Browse nodes, read live data and history, and monitor subscriptions, events and alarms. Runs...
Search and verify 1,600+ government-licensed domestic-worker recruitment agencies across the six GCC countries (UAE, Saudi Arabia, Qatar, Kuwait, Bahrain,...
GhidraMCP is a Model Context Protocol (MCP) server that allows LLMs to autonomously reverse engineer applications by exposing core Ghidra…
Semantic Ui React MCP Server: The official Semantic-UI-React integration.
Maestro is an open-source framework that makes UI and end-to-end testing for Android, iOS, and web apps simple and fast.
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.