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AI-редактор кода, часто используемый с developer MCP.
MCP Servers

AI-powered Chrome automation server with natural language element detection. Control Chrome browser through MCP protocol for testing, debugging, and performance analysis.

MCP tool management and workflow proxy

MCP server that gives AI agents live access to any running RE Engine game via REFramework

MCP server enabling AI assistants to use GitHub's spec-kit methodology

Full Apple Music integration for Claude via MCP — search catalog, manage library & playlists

MCP server that enables AI assistants to interact with Salesforce orgs through the Salesforce CLI, providing tools for Apex execution, SOQL queries, metadata management, code analysis, and...

MCP server for Klever blockchain smart contract development

- search, transcribe, compare, and cite YouTube and public social video. - import once, then search transcripts, comments, frames, and OCR without fetching the same video again.

修复了mcp连接zemax3秒超时自动崩溃的问题,zemax冷启动超过3秒导致mcp无法正常连接已修复,并且添加了实现光学系统的设计、分析与优化。本次新增四个工具:ExportAnalysisTool 支持 17 种分析类型的 BMP 图像及 TXT 数据导出,含二维数据网格的分析(PSF、波前图等)自动渲染为热力图;GeometricImageAnalysisTool 提供 25+...

LLM Reasoning Framework for Scientific Research

Zero-setup YouTube transcript extraction for Claude. Works on mobile, desktop, and web - no local installation required.

This project provides semantic search capabilities for GitHub repositories using the Model Context Protocol (MCP).
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)