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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based AI agent to provide an intelligent interface for interacting with users and executing...
WeMake AI delivers production-ready Model Context Protocol (MCP) servers designed for enterprise environments, with a focus on GDPR compliance, German healthcare standards, and zero-downtime...
Showing how to transition from a naive agent to an MCP agent in 3 steps
An interactive chat interface that combines Ollama's LLM capabilities with PostgreSQL database access through the Model Context Protocol (MCP).
A Model Context Protocol (MCP) server that gives LLMs access to information about a candidate.
Skill and MCP server for searching and retrieving icons
本地 AI Agent 的统一管理中心。 添加 Agent 后，用户可在这里实现： - 一键启动 / 停止，实时查看日志 - 内嵌 Web UI 与交互式终端 - 用自然语言指挥所有 Agent - 一键生成临时公网分享链接
The Visual Control Plane for MCP Servers & AI Skills.
A lightweight wrapper around mcp-swift-sdk that integrates with LLM Swift libraries such as SwiftOpenAI and SwiftAnthropic to easily create your own MCP Clients in macOS applications.
让 AI 原生使用社媒数据的MCP服务。爬虫部分参考了MediaCrawler，将其 CLI 爬虫升级为 MCP 标准工具，让 Claude / ChatGPT 直连调用，一次配置，长期可用。
A comprehensive system for searching and analyzing German legal texts using vector embeddings and semantic search, consisting of:
Conduct iterative, deep research using Google Gemini 2.5 Flash with Google Search Grounding and URL context. No web-scraping dependency is required.
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)