Claude Desktop インストールガイド
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
A simple and clear example for implementation and understanding Anthropic MCP (on AWS Bedrock).
将本地 MCP 服务器无缝接入各大网页版 AI 助手的浏览器扩展 本项目由 OPENCODE + Claude Opus 4.6 完成
This is an MCP server implemented using the RMCP (Rust Model Context Protocol) library for operating Containerd.
Anthropic’s Model Context Protocol implementation for Oat++
A simple Model Context Protocol (MCP) server for Mesh.
A crate for making MCP (Model Context Protocol) compatible programs with rust
AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation
This is a simple MCP (Model Context Protocol) server that connects to the PokéAPI and exposes tools that an LLM can use to fetch Pokémon data, list popular Pokémon, and build a tournament squad.
One place to manage & connect to all your MCP servers
A practical implementation demonstrating ADK (Agent Development Kit) as an MCP (Model Context Protocol) client for flight search capabilities.
RevitMCPSDK is a comprehensive software development kit for Autodesk Revit that implements the Model Context Protocol (MCP).
This repository contains TypeScript packages for integrating Ory authentication and access control with the Model Context Protocol (MCP).
Agent Skills
Cloudflare native, ai sdk v6 agent workspace ready to use with better auth and all of the cloudflare dev bindings.
Autoresearch with PhD-level workflows and modular agent skills. Built for the autonomous AI Scientist.
一句话：把你的素材和要求交给 AI，让它按国家《党政机关公文格式》（GB/T 9704-2012）的规范，帮你起草报告、通知、请示、纪要等 **公文与正式材料，并可导出 Word。
🚀 论文检索、文献综述、写作辅助、查重预检、降AI率、参考文献管理 —— 一个 Skill 全搞定。
My curated agent skills
Let it be
provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
AI agents should not give project advice from vibes.
你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候，对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
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.