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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

Windows Computer Use for AI Agents. Both a tool (22 MCP tools for click, type, screenshot, OCR, UI inspection) and an agent (autonomous mission engine, macro recorder, intent-based discovery, event...

Buy me a coffee on Patreon if this project helps you. I am not very familiar with editing Patreon pages yet; thanks for your understanding.

An opinionated Jira MCP server built from years of real-world software development experience.

Local MCP server that gives AI coding agents persistent, searchable memory of your codebase

An MCP server that enables LLMs interacting with your network devices

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats and learn from past errors through a lesson system.

This project sets up a powered by the API and built for seamless integration with .

Professional trading assistant supporting with , , and .

Execute IDAPython scripts in IDA Pro through any MCP-compatible AI assistant.

A Model-Context-Protocol (MCP) server that lets Claude (or any MCP-compatible LLM) interact with your Obsidian vault through the community plugin – written in and runnable with .

A Visual Studio Code extension to connect to Siemens TIA Portal and interact with TIA Portal projects directly from VS Code with GitHub Copilot.

Payments MCP is an MCP server & companion wallet app that combines wallets, onramps, and payments via x402 into a single solution for agentic commerce.
Agent Skills

This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.

Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants

A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.

A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.

简单说,就是跟 Claude 说一句话,它会帮我从每天的新论文里筛一轮,挑出值得看的,再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令,基本就是: