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AI-редактор кода, часто используемый с developer MCP.
MCP Servers
A CLI version of an MCP server for the ScreenshotOne API
Model Context Protocol server for clangd on large C++ codebases.
An MCP (Model Context Protocol) server for interacting with LSP (Language Server Protocol) interface. This server acts as a bridge that allows LLMs to query LSP Hover and Completion providers.
— Model Context Protocol (MCP) gateway for Telegram. 8 context-efficient tools, multi-tenant, MTProto bridge.
FinData enables your AI agents retrieve financial data from different providers like Tushare, Wind, and DataYes.
A Model Context Protocol (MCP) Server for Elixir
is a Python package that implements a Model Context Protocol (MCP) server, designed to dynamically expose REST APIs—defined by OpenAPI specifications—as MCP tools.
Allows AI Agents to interact with the Twilio SendGrid v3 API, managing contact lists, templates, single sends, and stats
MCP server for HeadHunter API integration with Claude Code. Search jobs, manage resumes, and apply to vacancies using AI.
基于 Model Context Protocol 的微博数据 API 服务器 - 实时获取微博用户资料、帖子、热搜话题、粉丝/关注数据。支持用户搜索、内容分析和话题发现，适用于 AI 应用。
This is a Model Context Protocol (MCP) server for interacting with AIStor object stores.
Google AI Studio MCP Server - Powerful Gemini API integration for Model Context Protocol with multi-modal file processing, PDF-to-Markdown conversion, image analysis, and audio transcription...
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)