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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

Welcome to the MCP Server Workshop! In this hands-on, instructor-led workshop, you'll build a fully functional Model Context Protocol (MCP) server from scratch using Java.

MCP integration for Google Calendar to manage events.

A comprehensive collection of Model Context Protocol (MCP) servers, empowering AI models with enhanced capabilities through standardized integrations.

MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.

A powerful Python recreation of Claude Code with enhanced real-time visualization, cost management, and Model Context Protocol (MCP) server capabilities.

A Model Context Protocol server that provides search capabilities using a CSE (custom search engine).

The Axiom MCP Server connects AI assistants to your Axiom observability data using the Model Context Protocol (MCP). This repository contains:

Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.

40ANTS-MCP is a framework for building Model Context Protocol servers in Common Lisp

One stop shop - Local-first RAG stack with intelligent polyglot-code/docs, remote code execution, local llama enrichment, progressive disclosure tools, mcp server, sandboxed security.

A Model Context Protocol server for building Xcode projects directly from LLM applications

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
Agent Skills

Beautiful UI components built for Better Auth.

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...

⚡ PowerGrid generates modern, powerful and easy-to-customize data tables using Laravel Livewire.
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...

Adala is an **utonomous **ta (**abeling) **gent framework.

Ti*k*Z is a wonderful awesome graph drawing package for TeX/LaTeX/ConTeXt. Unlike other TeX packages, TikZ itself is really huge, its manual contains about 1100+ pages, 100+ chapters.

Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound.

The main repository for libraries used to build applications on the Atsign Platform. Three categories: SDKs, libraries, and Flutter widgets.

本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读,帮助大家更轻松地掌握 Agent Skills。

SkillsBench evaluates how well skills work and how effective agents are at using them.

Your AI skills and agents, finally organized.

KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.