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ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers

Python implementation for building AI Agent with MCP (Model Context Protocol) tools and MCP server/client architecture.

"The question is not what you look at, but what you see." — Henry David Thoreau

This project demonstrates an Agent Development Kit (ADK) agent that interacts with a local SQLite database.

Create production-ready MCP servers in PHP with modern architecture, and flexible transport options.

This is a Model Context Protocol (MCP) server implementation for Redmine. It integrates with Redmine's REST API to provide ticket and project information to LLMs.

MCP server that gets Claude to 97.9% (188/192) on a real coding benchmark at -80% active tokens and -83% wall time, vs 78.3% plain. Structural code navigation + persistent memory engine.

阿里云 MCP Server 是一个强大的云服务集成平台,通过 Model Context Protocol (MCP) 为 AI 应用提供阿里云服务的无缝集成能力。该平台支持数万个阿里云 OpenAPI,让开发者能够轻松地将阿里云的各种服务能力集成到 AI 工作流中。

is a comprehensive MCP-native system that serves as a complete AI agent operating system. It exposes dozens of powerful capabilities through the Model Context Protocol, enabling advanced AI agents to...

⚠️ : This registry is currently in active development and testing phase. The API and data structure may change. Not recommended for production use yet.

An MCP (Model Context Protocol) server that connects AI coding assistants to -- the industry-standard MBSE tool for SysML and UML modeling.

🐉 The fast, PHP way to build MCP servers

MCPCorpus is a comprehensive dataset for analyzing the Model Context Protocol (MCP) ecosystem, containing ~14K MCP servers and 300 MCP clients with 20+ normalized metadata attributes.
Agent Skills

Vercel's official collection of agent skills

that teach AI assistants how to build fast, beautiful, secure Mapbox applications across platforms. Covers performance optimization, cartographic design, framework integration, platform migration,...

AI agents should not give project advice from vibes.

Skills for AI coding agents — Laravel, PHP, React, TypeScript, testing, security, and code quality.

Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.

A curated, hands-on library of notebooks, demos, and resources for AI/ML, Deep Learning, Generative AI, AI-Agents, fine-tuning, and modern tooling.

for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.

🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.

A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.

Chainstack is the leading suite of services connecting developers with Web3 infrastructure

Agent skills I use every day.

Open the interactive guide to learn more about the Skill