Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
A Model Context Protocol (MCP) server that provides seamless integration with the Postman API. This package enables AI assistants and applications to interact with Postman workspaces, collections,...
MCP server for interacting with CodeRabbit AI reviews on GitHub pull requests
Minimal Metals stand alone client that allows running the metals mcp server
Self-hosted, OpenAI-compatible RAG API + MCP server that plugs local knowledge into existing LLM clients.
Garry's Mod external console software with MCP and Websocket support.
Tiger GitHub MCP server
Official Anam AI MCP server for managing AI avatars
Official Porkbun MCP server — exposes the Porkbun v3 API as 30 native tools for Claude Desktop, Cursor, and other AI agents. Idempotency-safe writes, full domain lifecycle.
A unified plugin for developers integrating MCP servers into modern JavaScript build tools, including Webpack, Rollup, Vite, and more.
Keryx: The Fullstack TypeScript Framework for MCP and APIs
זה ממש אבל ממש לא אמסיפי לחילנט
An MCP-capable intelligent RSS feed ingestion and summarization to markdown tool.
Agent Skills
🚀 精选 Claude Skills、Agent Skills、LLM Skills 及 AI 智能体开发资源列表（中文）。A curated list of awesome Claude / Agent / LLM Skills.
Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your...
This repo includes Claude prompt curation to use Claude better.
This repo contains the (the heavy, browsable skill files).
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
A privacy-first app that strips AI watermarks from content you own.
MiniCPM5-1B: A SOTA 1B on-device LLM, small yet powerful.
Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill（原同事 Skill）.
AI agents should not give project advice from vibes.
from vibe coding to agentic engineering - practice makes gemini perfect
Install the H3 prompt writing skill — one of nine skills bundled with this repository:
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.