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

The official ElevenLabs MCP server

Open-source BullMQ dashboard. Drop-in for any Node or Bun backend.

MCP Server for kubernetes management commands

🧠 The AI-native memory framework for building intelligent, context-aware applications 🧠 Built with Rust, Cortex Memory is a high-performance, persistent, and intelligent long-term memory system...

Telegram MCP server powered by Telethon to let MCP clients read chats, manage groups, and send/modify messages, media, contacts, and settings.

Turn your thinking into queryable context

Give agents controlled browser sessions for research, QA, screenshots, and web tasks.

FreeCAD MCP(Model Context Protocol) server

An MCP adapter that bridges the Abilities API to the Model Context Protocol, enabling MCP clients to discover and invoke WordPress plugin, theme, and core abilities programmatically.

💻 Give AI models complete control of your computer (probably a bad idea)

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia.

One home for every agent. A free, open-source app to manage all your AI coding agents — desktop, CLI, or web.
Agent Skills

Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/

Open the interactive guide to learn more about the Skill

Chainstack is the leading suite of services connecting developers with Web3 infrastructure

A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.

🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.

A high-quality GPT-Image-2 prompting skill with bilingual README, structured prompting methods, templates, and examples.

for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.

Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.

AI agents should not give project advice from vibes.

Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows

provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...

Agent-first X/Twitter client in Go — JSON envelope per command, multi-account, cookie-safe anti-detection for autonomous agents