Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP桥接浏览器插件，让网页端的AI具备调用MCP工具的能力
esa の Model Context Protocol サーバー実装
A MCP Server that's built on top of AWS Cloud Financial Management (CFM) Technical Implementation Playbooks (TIPs) - our proven collection of cost optimization best practices
Model Context Protocol服务器，用于抓取微博用户信息、动态和搜索功能
This project implements the core functionality of the Roo Code Memory Bank system as a Model Context Protocol (MCP) server.
MCP server for control Tabby terminal
一个基于 MCP (Model Context Protocol) 的 Java 反编译工具，使用 CFR 反编译器对 .class 和 .jar 文件进行反编译。
FinData enables your AI agents retrieve financial data from different providers like Tushare, Wind, and DataYes.
MCP for grep.app
⚡ C̷h̷u̷c̷k̷N̷o̷r̷r̷i̷s̷ MCP server: Helping LLMs break limits. Provides enhancement prompts inspired by elder-plinius' L1B3RT4S
MCP Server with ArcGIS Pro Add-In
This Model Context Protocol (MCP) server provides a tool for scraping webpages and converting them to markdown format using Puppeteer, Readability, and Turndown.
Agent Skills
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
The open agent skills tool - npx skills
A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.
Keep your skills sharp. Intelligence for agent context.
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.
会话 · 聊天记录 · 搜索 · 联系人 · 群成员 · 群昵称 · 收藏 · 统计 · 导出
🧠 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.