Browse and discover Model Context Protocol compatible servers
This repository provides a Model Context Protocol (MCP) server that allows AI coding tools like Cursor to access and utilize Figma design data for more accurate code generation.
MCP for xiaohongshu.com
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
The memory harness for proactive AI agents — structured storage, intent capture, 10x token reduction.
fay是一个帮助数字人(2.5d、3d、移动、pc、网页)或大语言模型(openai兼容、deepseek)连通业务系统的mcp框架。
This Unity package facilitates communication between Unity and LLMs via the Model Context Protocol, enabling developers to automate workflows, manipulate assets, and control the Unity Editor programmatically. This Unity package
This TypeScript SDK implements the Model Context Protocol, enabling developers to build MCP clients and servers that expose resources, prompts, and tools for LLM context management. It supports standard transports
Java version of LangChain
XiaoHongShu (RedNote) data extraction tool. Extracts user/post links, scrapes info, and downloads watermark-free content.
Chrome extension MCP server. Enables AI assistants (e.g., Claude) to automate Chrome, analyze content, and perform semantic search via Model Context Protocol.
Inbox Zero is an open-source AI email assistant and client designed to help users achieve inbox zero quickly. It offers features like AI-powered email management, reply tracking, smart categories, and
Scira (Formerly MiniPerplx) is a minimalistic AI-powered search engine that helps you find information on the internet and cites it too. Powered by Vercel AI SDK! Search with models like xAI's Grok 3.
**Option 1 (Focus on Model Orchestration):** > Model Context Protocol server. Orchestrates Claude + other LLMs (Gemini, OpenAI, etc.) for combined processing. **Option 2 (Focus on Unified Interface)
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