Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Welcome to the Claude Code Crash Course! This repository is designed to teach you the fundamentals and advanced concepts of Claude Code, Anthropic's official CLI for AI-powered software development,...
This repository contains implementations of the Model Context Protocol (MCP), an open standard that connects AI systems with external tools and data sources.
一个基于 .NET 10 构建的现代化 AI Agent CLI，采用 Runtime First、Plugin First 架构，支持多模型、MCP、Skill、Tool、流式终端交互和可扩展插件系统。
一个专为 Claude Code CLI 设计的聊天记录 MCP 服务器，支持直接下载微信聊天中的媒体文件到本地存储。
Building MCP servers with Delphi
A self-hosted error tracking engine for Rails 8+ applications. Track errors, get notified, and resolve issues—all without external services.
Salesforce’s hosted MCP servers allow AI assistants like Claude, ChatGPT, and more connect securely to your Salesforce logic and assets using the Model Context Protocol.
A TypeScript template for building remote Model Context Protocol (MCP) servers with modern tooling and best practices while leveraging the MCP TypeScript SDK.
A generic, modular server for implementing the Model Context Protocol (MCP). This server provides a framework for controlling and interacting with various models through a standardized API.
A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP implementations.
Dieser Server implementiert das Model Context Protocol (MCP), um deutschen Gesetzestexte für LLMs (Large Language Models) bereitzustellen.
This project demonstrates how to use Google's Gemini 2.5 Pro with function calling capabilities to interact with the mcp-flight-search tool via Model Context Protocol (MCP).
Agent Skills
This repository provides a collection of composable Dockerfiles and build scripts for deploying and running software, full applications, and select demonstrators on AMD Ryzen AI hardware.
🧬 Darwinia Give your AI agent the power to evolve its own trading strategies. Trading agents that discover strategies through Darwinian selection and adversarial self-play — not human-written rules.
Why use many token when few token do trick?
小提示：导入数据时**，尽量不要用 JSON——多数微信导出工具的 JSON 是给 LLM 微调用的格式，没有时间戳，跑不出 K 线。详见 输入格式。
—— 一套可被任意 AI agent（Claude / GPT / Cursor…）使用的**。
面向 AI Agents 的安全、可持久化沙箱执行平台（Secure, Persistent Execution Platform for AI Agents）
Your future self will thank you. Or blame you. It depends on the diff.
TL;DR: Thea brings coding agents to the physical world.
A Claude Code plugin that audits your mobile app against store review policies — the store rejects it.
A grab-bag of experimental transformer kernels and utilities (mostly PyTorch + Triton).
10 agentes (8 de núcleo, Selina si hay frontend y Lucius bajo demanda), catálogo de 11 skills de proceso, memoria persistente de decisiones por proyecto, 6 flujos de trabajo con quality gates...
Most research-idea workflows fail in one of three ways: