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
Installing MCPs is a huge pain, so I made a CLI tool to make it easier.
Your digital developer twin — because "explain our setup again" gets old fast.
Local macOS control server for MCP clients and Custom GPT Actions
A secure, remote-accessible MCP server that gives LLMs read/write access to your Obsidian vault from anywhere -- your desktop, your phone, a hotel Wi-Fi network.
Scan your dev machine for AI agents, MCP servers, IDE extensions, suspicious files, and risky package-manager configs — in seconds.
Allow all your Claude Codes to message each other ad-hoc!
Every local AI coding session in one tab: Claude Code, Codex and OpenCode in a single list, with a queue you can schedule and isolated Claude Desktop instances kept apart. Local, private, MCP-native.
A lightweight way to use environment variables in your Cursor MCP server definitions.
GCO is a platform that spins up EKS Auto Mode clusters across AWS regions, wired together with Global Accelerator for low-latency routing.
Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients
- Let AI assistants analyze binaries directly
Sovereign, encrypted, portable memory for AI agents.
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