Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
MCP security testing framework for evaluating Model Context Protocol server vulnerabilities
MCP is a command-line tool and local UI for discovering, installing and managing Model Context Protocol servers.
Emacs Lisp implementation of the Model Context Protocol
Continuously updated catalogue of open-source OSINT tools, skills, plugins, MCP servers, and agentic integrations.
Connect Claude.ai to Twitter/X — without paying $100/month for the official API.
This project is in its early stages, and the README is currently minimal.
Model Context Protocol servers you can actually run yourself.
Teamwork.com MCP server
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
An MCP (Model Context Protocol) server that provides access to Rust documentation from docs.rs. This server allows AI tools to search for documentation, type information, feature flags, version...
One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code
A comprehensive stdio MCP (Model Context Protocol) server for SEO APIs. This server allows LLMs (Large Language Models) to interact with DataForSEO API functions and other SEO tools.
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)