Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.
An MCP server that provides access to LLMs using the LlamaIndexTS library.
The ngrok alternative with .local domains, a scriptable CLI, and an MCP server for AI agents
Typed async Python clients + MCP server for Romania's ANAF web services: e-Factura, e-Transport, and public taxpayer lookups.
MCP server to extract contents from a PDF file
The purpose of the repo is to teach you how to make MCP servers. The target audience are non-technical with no real coding experience.
Open-source SAST engine that traces vulnerabilities across files and functions
The AI agentic designer — open-source React design system + MCP that lets Claude, Codex, Cursor & Gemini build production UI in minutes. No AI slop.
Shared MCP server for the Upvote.club Public API.
MCP server for flyonUI
The enterprise-grade TypeScript framework for building production-ready MCP servers. Decorators. Dependency Injection. Widgets. One framework to ship AI-native backends.
Agent Skills
本仓库是基于 WorkBuddy / Claude Code / Cursor 等 AI Agent 的**。每个 Skill 是一个自包含文件夹，包含 SKILL.md（Agent 执行指令）、README.md（人类文档）、references/（Prompt 参考）和 assets/（模板 HTML）。
这是 codex-windows-fast-patch skill 的公开版本，用于让支持 Agent Skills 的智能体修复 Windows 版 Codex Desktop 更新后常见的功能失效问题。
🌳 A type-safe HTML template engine for Python. Build dynamic web pages using Python components with a React-like approach.
A collection of AI agent skills useful for projects using the Kotlin language. Skills are following the Agent Skills standard, see agentskills.io for more information.
PPT Agent 基于软件工程理念的演示文稿全自动生成框架 English | 中文
a desktop app for getting work done with any model
Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for...
— This project is in early development. APIs and skill content may change.
The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402 payments, escrow, and dispute resolution as one open, catch-all Agent Skill / Claude Code...
Add both Manim skills to your AI agent instantly:
Write a SKILL.md, drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task.
“论文不是把字堆满，而是把项目事实、样文规范、图表截图和 Word 交付一次性闭环。”