Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game...
MCP Server for Metasploit
160+ animated, accessible, production-ready components — delivered as raw source code, owned by you forever.
MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!
A database-backed Model Context Protocol (MCP) server for managing structured project context, designed to be used by AI assistants and developer tools within IDEs and other interfaces.
Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform
MCP server for interacting with Neon Management API and databases
The open-source tunnel that scales with you. Don't pay for idle time. Secure, Rust-fast, and Pay-as-you-go.
Official Jina AI Remote MCP Server
MCP server to access Garmin data
基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server
⚡ Blitz Strike — a universal MCP penetration-testing toolbelt. Structured methodology: reconnaissance & attack-surface mapping, source-to-sink analysis, and live validation.
Agent Skills
Everything you need to know about OpenCode — from your first prompt to custom agents, skills, plugins, and MCP integrations.
是由同花顺官方提供和维护的 A股金融数据服务，面向 AI Agent、量化研究者和应用开发者。
个人常用的 Agent Skill（公开部分）。通过合适的上下文工程，可以将 Agent Skill 用在几乎任何地方。
AI coding agents are great at Python. They hallucinate in Spring Boot.
Elves is an open-source Agent Skill for handing planned development or research work to a separate worker without locking the run to one model provider.
Browser Control lets trusted coding agents run Playwright against your existing Chromium-family browser.
- Manage Claude Code, OpenAI Codex, Google Gemini, OpenCode, and custom AI agents from one powerful command-line interface.
The open-source desktop AI agent that gets work done — an agent that plans and self-corrects, agentic visual workflows, generative UI, and 100+ offline tools in a single self-hostable stack.
Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.
A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...
一句话：输入一个基金代码，Agent 把基金经理 8 年的每一笔买卖翻出来，拿 12 个月后的真实走势逐笔验对错，最后吐出一份 700KB 的单文件交互报告——K 线战役回放、买卖点验尸、独立性审判、造神检测，全都有。
Local-first harness for agent-built codebases. Humans steer, agents execute, maestro is the substrate.