Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP for Proxmox integration in Cline
MCP server for Windows OS automation
An intelligent research assistant powered by Perplexity's specialized AI models. Features automatic query complexity detection to route requests to the most appropriate model for optimal results.
📺 See this project in action — Watch on YouTube (starts at the Security Investigator demo). Covers the end-to-end workflow: natural language investigations, MCP server integration, KQL query...
This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases.
A linguistic linter for Traditional Chinese (zh-TW) that enforces Taiwan Ministry of Education (MoE) standards on vocabulary, punctuation, and character shapes.
A Model Context Protocol (MCP) server that enables and to manage multiple SSH connections. Execute commands, transfer files, manage databases, create backups, monitor health, and automate DevOps...
Point it at a target — it crawls your app, maps every endpoint, then spawns role-specialized agents (Scout, Analyzer, Exploiter, Reporter) to test for XSS, SQLi, SSRF, SSTI, IDOR and more.
MCP server for Thunderbird - enables AI assistants to access email, contacts, and calendars
A SEC EDGAR MCP (Model Context Protocol) Server
Enhanced Model Context Protocol (MCP) server for programmatic CAD modeling with Onshape.
Imagine having an AI coding assistant that can analyze your codebase, fix bugs, write new features, manage databases, interact with APIs, and automate your entire development workflow - all within...
Agent Skills
A Datacenter Scale Distributed Inference Serving Framework
Craft AI-driven interface effortlessly🤖
Looking for the JS/TS library? Check out AgentsJS
A slide framework built for agents.
Toolkit for building native desktop apps
A curated list of Web Performance Optimization.
一个简单好用的个人书库
A Network Arena for Benchmarking AI Agents on Network Troubleshooting
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
Use your most capable model to audit your codebase and write plans for cheaper models to execute.
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A composable library of skills and rules for AI coding agents. Covers repo memory, long-horizon execution, multi-agent coordination, TDD, security review, and delivery automation.