Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
A distributed runtime system for federated AI services with edge computing capabilities.
A Model Context Protocol (MCP) tool that retrieves relevant information about Godot game engine from a local ChromaDB database.
Building MCP servers with Delphi
- - DeepSeek-V3 Chat、DeepSeek-R1 推理模型 - - Gemini 3 Pro/Flash、Gemini 2.5 系列（最新） - - GPT-4o、o1/o3 推理系列 - - Claude Sonnet 4、Claude 3.5 系列 - - Llama 3.3 70B（免费高速推理）
Fine-grained control over model context protocol (MCP) clients, servers, and tools. Context is God.
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。
A Server-Sent Events (SSE) implementation using FastAPI framework with Model Context Protocol (MCP) integration.
Muppet is an open-source toolkit designed to simplify the entire lifecycle of your Model Context Protocol (MCP) servers—from development and testing to deployment.
A CLI tool for quickly scaffolding Model Context Protocol (MCP) server applications with TypeScript support and modern development tooling
is a local-first skill management platform that turns operational knowledge into structured, searchable, reusable artifacts.
A seamless integration between Prism and Model Context Protocol (MCP) servers that empowers your AI applications with powerful, external tool capabilities.
Stardust is a desktop AI agent platform that combines a powerful chat interface with an extensible plugin system.
Agent Skills
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
橙皮书 (Orange Book) Series · by HuaShu (花叔)