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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
MCP (Model Context Protocol) server for Biothings.io
Model Context Protocol server for GoHighLevel. It exposes GHL API operations as MCP tools over stdio, Streamable HTTP, legacy SSE, and optional MCP Apps.
Livebook Tools is a CLI tool to give you superpowers while working with .livemd files. Its primary features are:
A powerful Python recreation of Claude Code with enhanced real-time visualization, cost management, and Model Context Protocol (MCP) server capabilities.
A package registry specification for AI development artifacts - agents, MCP servers, prompts, powers and skills.
This project contains Model Context Protocol servers, implemented in Java using the Quarkus MCP server framework.
MCP Server For Turkish Legal Databases
A Model Context Protocol server that gives an LLM assistant — mail, calendar, people, tasks, drafts and (explicitly gated) sending — speaking EWS natively. No Graph proxy, no Microsoft 365 connector.
Pipelines you own. Write them, wire them, or draw them.
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
The official Figma MCP server has only read-only tools. You can use AI Agent in Figma Make. But, it is not convenient to chat in Figma Make and then move result to Figma to continue.
Compose, manage, and run MCP servers as Docker containers. With a Unified API gateway built in.
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)