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AI-редактор кода, часто используемый с developer MCP.
MCP Servers
This project demonstrates the implementation of Model Context Protocol (MCP) for both local and remote server configurations using stdio and HTTP protocols.
Build lightweight MCP servers in plain Java with annotations, generated schemas, and no Spring runtime
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop.
A Home Assistant Custom Component that provides an MCP (Model Context Protocol) server using , allowing AI assistants like Claude to interact with your Home Assistant instance.
Agentic RAG with MCP Server
A comprehensive set of samples of creating and using MCP servers and clients with .NET
The fastest BM25 scoring engine: 2,300x faster than BM25S. 28K QPS on 8.8M docs. 5 BM25 variants (Robertson, Lucene, ATIRE, BM25L, BM25+). Memory-mapped persistence, BMW pruning, streaming indexing.
A Model Context Protocol (MCP) server running on ESP32 (and Nordic nRF52840 in sensor-only mode), exposing real-world sensor data and bus protocols to AI assistants and automation tooling over...
Minimal, spec-faithful Python framework for building Model Context Protocol (MCP) clients and servers.
This repository demonstrates how to secure a Model Context Protocol (MCP) server using OAuth 2.1 authorization flows, implemented entirely with Node.js and Express.js.
⚠️ It has been superseded by — a newer, improved version with additional Blossom file storage support and an expanded tool set.
Turn any MCP stdio server into HTTP endpoints your web app can call. Per-user session pooling, real timeout handling with background job fallback, live dashboard.
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)