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
Showing how to transition from a naive agent to an MCP agent in 3 steps
A remote Cloudflare MCP server boilerplate with user authentication and Stripe for paid tools.
A collection of MCP (Model Context Protocol) servers for managing and integrating (LLM) various Large Language Model services.
Building MCP servers with Delphi
This project demonstrates how to build interactive MCP (Model Context Protocol) widgets that run on Cloudflare Workers and can be embedded in AI chat interfaces like ChatGPT.
This project implements a small team of coding agents using LangGraph and the Model Context Protocol (MCP). The agents use MCP servers to provide tools and capabilities through a unified gateway.
Look, a flock of geese! An MCP server and protocol for Goose agent collaboration.
A production-ready for seamless integration between Wazuh SIEM and Large Language Models (LLMs).
Agentic RAG with MCP Server
A practical implementation demonstrating ADK (Agent Development Kit) as an MCP (Model Context Protocol) client for flight search capabilities.
Welcome to ntfy-mcp, the MCP server that keeps you caffeinated and informed! 🚀☕️
A simple and clear example for implementation and understanding Anthropic MCP (on AWS Bedrock).
Agent Skills
A lean .claude/ setup for daily development. Seven specialist agents, twelve workflow skills, six modular rules, and eight safety/productivity hooks.
A collection of skills for AI financial analysis.
A skill collection for creators who want to streamline writing, X Articles draft publishing, WeChat digital-asset capture, and local workflows with Claude Code and Codex.
This repository contains sample prompts and agent instructions for Microsoft Copilot, GitHub Copilot, and Microsoft 365 Copilot.
本项目把传统术数相关的 AI skill 拆成可审计、可复用、可逐步扩展的工程模块。目标不是把模型包装成“更会玄学”，而是尽量减少它在排盘、流派口径、步骤顺序和解释链路上的幻觉。
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.
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
Expert-level compliance guidance for ISO 27001, SOC 2, FedRAMP, GDPR, HIPAA, NIST CSF, PCI DSS, TSA Cybersecurity, ISO 42001 AI Management System, ISO 27701 Privacy Information Management, DORA...
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.
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
🦀 Crabwalk 🦀 Real-time companion monitor for OpenClaw agents.
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.