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
Add MCP servers to your favorite coding agents with a single command.
一个基于 .NET 的 Windows 桌面自动化 MCP (Model Context Protocol) 服务器，为 AI 助手提供与 Windows 桌面环境交互的能力。
Let Claude be your Redmine assistant! MCP Redmine connects Claude Desktop to your Redmine instance, allowing it to:
A Model Completion Protocol (MCP) server implementation for ServiceNow, allowing Claude to interact with ServiceNow instances.
This project leverages Playwright for automated browser testing and integrates with Cloudflare Workers, Browser Rendering and @cloudflare/playwright for deployment.
Supercharge AI Agents, Safely
Multi-instance IDA Pro MCP server — analyze multiple binaries simultaneously through a single MCP endpoint.
llamacloud-mcp is a tool that allows you to use LlamaCloud as an MCP server. It can be used to query LlamaCloud indexes and extract data from files.
Summon a ghost into your phone. It sees the screen. It taps the buttons. It never sleeps.
Operate Proxmox VE from MCP clients, AI agents, and OpenAPI tooling through one security-conscious control plane for VMs, LXCs, snapshots, backups, ISOs, container commands, and persistent...
Most AI agents still explore documentation the expensive way:
grok-search-rs is an — your client (Claude Code, Codex, Cursor, VS Code, …) launches it; you do not run it directly.
Agent Skills
AetherViz Master - 互动教育可视化建筑师，将任意教学主题转化为沉浸式3D交互网页
HEY CLI and Agent Skills
High-performance AI coding agent CLI written in Rust with zero unsafe code
A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.
A multi-agent workflow system for GitHub Copilot in VS Code that brings structure, quality gates, and long-term memory to AI-assisted development.
Generate realistic synthetic security logs for cybersecurity threat hunting training and research.
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Powered by , this project orchestrates 14 , each modeled after world-class experts in their domain. They ideate products, make decisions, write code, deploy, and market - without human intervention.
The Pi extensions and skills I use to keep long agent sessions useful without building a fake operating system around them.
Tell your coding agent to do real, multi-step work, then Smithers runs it for minutes or days: watch every step live, gate the risky ones behind human approvals, and rewind, fork, or replay any run.
[Documentation] [Quick Start] [简体中文] [Tiếng Việt]
An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.