Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

A secure Windows SSH workspace and MCP server for Codex, Claude Code, Cursor and other AI agents.

Use ChatGPT Developer Mode as a local coding agent for your repo through MCP.

a lib to build MCP clients and MCP servers in Clojure(script)

泪心UE4Dump逆向分析MCP工具

个人知识库 MCP 服务器 — 对本地文档建立索引,并提供一组飞书 API 工具,通过 MCP 协议供 AI 客户端访问。

Use Devnors Data from Python with one API Key.

Fictional concept interface—not an actual Codex UI or a measured context, token, speed, or latency benchmark.

You built an agent. Now you need to tune the prompt. Swap the model. Restrict access for specific users. Figure out what it's actually costing you.

Intercept AI requests, track usage, inject MCP tools centrally

An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.

1. GET ACTIONS: Exposes APIs to fetch the most relevant content from InterviewReady including blogs, resources and course materials. 2.

Build WordPress sites with your AI
Agent Skills

Speedily search and merge log messages by datetime

这里放的是我希望 Agent 长期带着走的工作流:能触发、能执行、能验证、能复用,而非临时 prompt 或一次性脚本。

每个 Skill 是一个 Markdown 文件,被 AI 编程助手(如 Trae、Cursor、Copilot 等)加载后,能够引导 AI 正确完成嵌入式开发任务——从环境搭建、项目创建、编译、烧录到调试,全链路覆盖。

DeepAgent 기반 Research(연구) Multi Agent System 구축 - Context Engineering

Battle-tested execution playbooks that give any AI agent the exact commands, APIs, and patterns it needs — cutting token usage by and making local models as capable as GPT-4.

Describe your workflow in one sentence, and get a complete workflow definition file ready to import into Coze, Dify, or ComfyUI — including node configuration, edges, layout, and all...

【Skill】AI 电子书制作工作流 — Claude Code Skill

MiniQMT 量化交易开发技能(miniqmt-skill)是一个基于迅投 XtQuant 库的量化交易开发工具,提供行情数据获取和交易执行功能。适用于开发股票、期货、期权等量化交易策略,支持历史/实时行情数据下载、K线/分笔数据获取、财务数据查询、自动下单/撤单、持仓查询、资产查询等功能。

From prompts to systems — learn how to build reusable AI skills.

微信聊天记录skill

Nix packaging for OpenClaw-adjacent tools, with per-tool OpenClaw plugin metadata. Part of the nix-openclaw ecosystem.

Design evaluation rubrics for LLM/agent outputs: criteria, scores, failure modes, examples.