Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
WinDbg extension + Python MCP server. Lets MCP‑compatible clients (Cursor, Claude, VS Code + Cline/Roo) drive WinDbg with clean, validated commands. Kernel‑first; user‑mode works too.
Easy install scripts and user guide for Zotero MCP — connects your Zotero library to Claude and other AI assistants
A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.
- — MCP Protocol v2 (spec revision 2026-07-28, streamable HTTP) and experimental StrongDM API support are here — see the release notes.
Allow all your Claude Codes to message each other ad-hoc!
Run it before Claude Code, Cursor, Windsurf, Cline, OpenCode, or another agent trusts new code, tools, prompts, or dependencies.
This MCP server connects your AI agent to — Google's creative suite for image and video generation. Your agent can:
Tool names match exactly what each server exposes. Tool-call output passes through unchanged (text or JSON), so you can pipe, redirect, or parse with jq.
Desktop Extensions: One-click local MCP server installation in desktop apps
A simple NextJS MCP client with sensible keybindings
Intercept AI requests, track usage, inject MCP tools centrally
Agent Skills
A Claude Code skill providing the latest OWASP security best practices (2025-2026) for developers building secure applications.
**是一个 AI Skill——不是魔法棒，不是"一键生成好莱坞剧本"的营销噱头。它是一个经过精密设计的**，把成熟故事一步一步转化为标准影视剧本、分镜方案和数字资产清单。
compile lua2c (single binary with embedded scripts)
An easy-to-use web framework. Based on baize and pydantic.
· Next-Gen Transparent Agent Architecture
주요정보통신기반시설(CII) 취약점 분석평가, AI 보안 평가, 로봇 보안 점검, 우주 보안 점검, 시큐어코딩 가이드, 제로트러스트 보안 평가, SW 공급망 보안(SBOM)을 위한 Claude Code 스킬 플러그인입니다.
Local-first AI agent framework built for small models, with optional hybrid cloud support.
AI defaults to the mean. Models are trained on millions of average websites. If you don't constrain them, they will build an average website.
A skill that turns any goal into one short, paste-ready prompt. That prompt makes your agent pick a real quality bar, split the work into small pieces, run a builder and a separate harsh critic on...
This project is currently in the testing stage. Star it, try it, and feel very welcome to share suggestions and feedback.
这是一个用 Python 从零构建 AI Agent 的教学项目。项目核心是 build-agent-example/：从一次模型调用开始，后续每一步都保留前一步的全部代码和能力，逐步加入循环、history、system prompt、工具、skills、memory、规划、子代理、团队协作、MCP 和 hooks。
给 Gemini CLI、Claude Code、Codex 等 AI 编程助手使用的 HarmonyOS NEXT 离线参考技能库。