Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Yet another minimal MCP server for Unity
🪐 ✨ AI Agents for JupyterLab with 🛠️ MCP tools - Chat interface for intelligent notebook interaction, code execution, and workspace management.
This is a starter template for creating your own Model Context Protocol (MCP) server that works with Puch AI. It comes with ready-to-use tools for job searching and image processing.
Implementation of a model context protocol (MCP) client that connects to an MCP server using HTTP streamable (recommended) transport and displays the conversation in a chat-like UI.
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents.
A comprehensive collection of courses and tutorials for learning the - an open protocol that standardizes how AI applications connect to external tools and data sources.
Build powerful, scalable, and secure Model Context Protocol (MCP) applications with ease. MCP Plexus is a Python framework built on the robust jlowin/fastmcp (FastMCP 2.
An MCP (Model Context Protocol) server implementation for Listmonk, providing programmatic access to newsletter and mailing list management functionality.
This server implements an MCP (Model Context Protocol) server with WebSocket enhancements for real-time data updates.
This repository contains a basic example of how to build an AI agent using the Model Context Protocol (MCP) with an open LLM (Meta Llama 3), OpenAI or Google Gemini, and a SQLite database.
This implementation is based on the Model Context Protocol (MCP) put forward by Anthropic. For more information on MCP, please have a look at their official documentation.
This repository contains an extension of Azure Functions to enable support for Model Context Protocol (MCP).
Agent Skills
Linear Chain-of-Thought anchors on whatever it says first. Tree-of-Thought widens the search but still walks a single shared context, so the anchoring persists across branches.
Repeatable agents-plus-code workflows, packaged as one skill, stamped into any repo. Deterministic Python owns the graph; coding agents are bounded nodes inside it.
Use any agent to create stunning, interactive presentations
video-spec-builder —— 把我想做个视频逼成一份精确到秒的分镜脚本 video-spec.md,交给 HyperFrames 渲染。一条命令装到 Claude Code / Cursor / Codex:npx skills add feicaiclub/video-spec-builder
VulnHunter is an open-source, that applies proactive, attacker-first analysis directly to source code.
CAR is a meta-harness for coding agents (Codex, Hermes, OpenCode, OMP, anything ACP). It is not a coding agent itself. You bring the plan and the agents; CAR coordinates the long-running execution.
1. 对话 skill 模式：在聊天中按 SKILL.md 约束执行单轮改写；安装本仓库作为 skill 后即可直接使用。 2. 脚本 API 模式：通过 scripts/run_aigc_round.py 执行单轮分段处理，并按需调用外部 OpenAI 兼容接口。 3. Web 模式：启动本地后端和前端页面，在浏览器中完成上传、配置、执行和导出。 4. app：安装app可直接使用
得到 APP 课程下载工具，可在终端查看文章内容，可生成 PDF，音频文件，markdown 文稿，可下载电子书。可结合 openclaw +skill 等使用
面向 Web 逆向分析与接口签名还原场景的 Skill，围绕 camoufox-reverse MCP 构建单一工作流：先用 Camoufox 反检测浏览器完成网络捕获、源码定位、Hook 调试与反检测验证，再按需落地到 Node.js 或 Python 算法还原与自动化调用。
Slide decks, landing pages, interactive prototypes, interactive explainers, animations, design systems, and more — powered by structured design thinking and built-in quality guardrails.
将本仓库中的 skills/audit-skills/ 整个目录放置到 claude 或 codex 可识别的 .skills/ 目录下；能力范围覆盖 Java、.NET 与 PHP 审计：
🦀 Crabwalk 🦀 Real-time companion monitor for OpenClaw agents.