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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
A SEC EDGAR MCP (Model Context Protocol) Server
This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases.
A Model Context Protocol (MCP) server that enables and to manage multiple SSH connections. Execute commands, transfer files, manage databases, create backups, monitor health, and automate DevOps...
This project demonstrates how to integrate the Model Context Protocol (MCP) with customized LLM (e.g. Qwen), creating a powerful chatbot that can interact with various tools through MCP servers.
An intelligent research assistant powered by Perplexity's specialized AI models. Features automatic query complexity detection to route requests to the most appropriate model for optimal results.
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This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance.
A simple implementation of an MCP server for using dify. It achieves the invocation of the Dify workflow by calling the tools of MCP.
MCP for Proxmox integration in Cline
MCP server for Thunderbird - enables AI assistants to access email, contacts, and calendars
The Code Sandbox MCP Server is a lightweight, STDIO-based Model Context Protocol (MCP) Server, allowing AI assistants and LLM applications to safely execute code snippets using containerized...
Python MCP server for SolidWorks automation with 109 tools, plus an optional agent/prompt-testing layer for AI-assisted workflows.
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)