Semantic Ui React
Semantic Ui React MCP Server: The official Semantic-UI-React integration.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 99 of 226
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.
Figma MCP Server (Framelink) is an open-source Figma MCP server that gives Cursor, Claude Code and other AI coding agents your Figma layout and……
ICSS is a GitHub repository that collects interesting CSS tricks and techniques, focusing on CSS/Web animations.
MaxKB (Max Knowledge Brain) is an open-source platform for building enterprise-grade agents.
1Panel is a modern, open-source VPS control panel with native AI agent support, allowing users to run Ollama models, deploy OpenClaw agents, and…
The MCP server that vets MCP servers. Connect your agent to the PolicyLayer registry and check any MCP server's identity, risk grade, auth posture…
MCP server for YouTube comments, transcripts and channel data in Claude, ChatGPT and Cursor.
Self-hosted monitoring your coding agent sets up and works: it adds checks from the repo, proves each can fail, then fixes incidents and closes…
Research vetted senior React, Next.js, and Node.js developers from ReactSquad (services, pricing, process, FAQs, case studies) and book a 30-minute...
GrokHack is a free, open-source multiplayer NetHack-style roguelike MMO. It features shared dungeon floors, permadeath, hunger, unidentified potions…
**AI Canvas MCP** connects your AI editor to [AI Canvas](https://aicanvas.me), an open-source, shadcn-compatible registry of 75+ free animated React components (MIT), each with AI…
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.