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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

Agent-native knowledge engine — search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX.

MCP Server for Metasploit

基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server

MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!

MCP server that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.

A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game...

An MCP server that provides control over Android devices via adb

Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform

⚡ DocsAgent — give your AI agents instant, private access to your personal knowledge base (Zotero now; Obsidian, Apple Notes & local docs on the road).

x64DbgMCPServer made from c# with Claude, Windsurf and Cursor support

MCP server for interacting with Neon Management API and databases

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal Engine through the native C++ Automation Bridge plugin. Built with TypeScript and C++.
Agent Skills

Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.

git checkout for releases that span many repos. Version tags that restore your whole product. No server, no database, any language.

ConardLi's open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more.

A complete agentic pipeline to kill a SaaS: pick a target, cut the 20% that matters, rebuild it on your boilerplate, ship it to production. One method = a suite of commands.

Production-grade Agent Skills for data engineering AI agents: 73 workflows, platform presets, safe backfill/replay, Kafka & Spark reliability, MCP observability, and VS Code/JetBrains installers.

Penpot AI kit

Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.

A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.

Keep your skills sharp. Intelligence for agent context.

Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...

Built for Codex, Claude Code, Gemini CLI and other coding-agent workflows. v0.1 is local-first and deterministic: it creates inspectable placeholder scene assets and an FFmpeg video without an API...

A curated list of awesome plugins, themes, agents, projects, and resources for https://opencode.ai