Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
A Model Context Protocol (MCP) server that facilitates structured, progressive thinking through defined stages.
Enable your AI agents to read, analyze, and modify Figma designs.
We don't make AI smarter. We make it experienced. AI coding memory — the local-first memory + judgment layer for AI coding agents. Save up to 50%+ of AI tokens. Stop repeating yesterday's bug.
MCP server to access Garmin data
The local runtime, CLI bridge, SDK, drop-in adapters, and wallet/auth/signing layer are MIT and readable here, so you can verify what runs on your machine rather than trust a black box.
A simple CLI to run LLM prompt and implement MCP client.
🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️
A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei, SQLMap, Hashcat and more.
A MCP server implementation for hyperbrowser
The open-source tunnel that scales with you. Don't pay for idle time. Secure, Rust-fast, and Pay-as-you-go.
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses,...
A simple MCP server for Obsidian
Agent Skills
Agent Harness完整架构和核心模块开发指导手册 - 参考生产级Agent源码：Claude Code，OpenCode，OpenClaw和Hermess
Agent skills extracted from real work. Each one shipped something first.
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
AI agent plugin for Jira — CLI tools for issues, worklogs, sprints, and more | Server/DC & Cloud
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.
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.
SimReady Foundation is a central repository for defining simulation content specifications based on various runtime use cases.
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