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

CLI, Rust client library, and MCP server for Anytype: manage spaces and objects, edit documents in Markdown, back up and restore, chat.

Query and Summarize your chat messages.

A MCP client for browser-use

We build reliable servers thoughtfully designed for MCP Client-powered workflows.

— 503 multi-tool tasks backed by a local PostgreSQL database, no external APIs required

Samples for MCP servers on Windows

A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based AI agent to provide an intelligent interface for interacting with users and executing...

基于滴答官方文档生成的日程待办增删改查MCP服务

The GemCP app is a cross-platform desktop application that creates a seamless chat interface for Google's Gemini AI models with extensible capabilities through a Model Context Protocol (MCP)...

Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.

Model Context Protocol for Wikidata

A Model Context Protocol (MCP) server for querying the CVE-Search API. This server provides comprehensive access to CVE-Search, browse vendor and product、get CVE per CVE-ID、get the last updated CVEs.
Agent Skills

— 使用、修改或部署本專案,必須標明原作者 、附上本 repo 連結,並以相同授權公開原始碼。網路服務部署亦同。 本專案於 2026/04/13 從 MIT 切換至 AGPL-3.0。此日期之前取得的版本仍適用 MIT 授權。

面向电商商品图生产场景的图片套图 Skill。仓库提供一套从商品图分析、卖点提炼、Prompt 组织到成图输出的脚本与配置,适合用在淘宝、京东、拼多多、抖音等国内平台,以及独立站、Amazon 等跨境场景。

这是一个用 Python 从零构建 AI Agent 的教学项目。项目核心是 build-agent-example/:从一次模型调用开始,后续每一步都保留前一步的全部代码和能力,逐步加入循环、history、system prompt、工具、skills、memory、规划、子代理、团队协作、MCP 和 hooks。

给 Gemini CLI、Claude Code、Codex 等 AI 编程助手使用的 HarmonyOS NEXT 离线参考技能库。

Claude Code와 OpenAI Codex 양쪽에서 동작하는 에이전트 스킬입니다.

— 基于 Claude Code Agent Teams 的多智能体协作安全分析框架

⚠️ qu-ai-wei 仍在迭代,规则、分类、API 都可能变动。欢迎提 issue / discussion / PR 反馈。 繁體有自己的 AI 腔特征、用字偏好、排版规范,规则需要单独维护,留给后续版本。

Herdr Browser renders a real Chromium view inside a Herdr pane and exposes it to Chrome DevTools Protocol clients.

The spec-driven development system where specs and tasks live in your repo and never drift from the code.

A minimal, working multi-model team for opencode: a that plans and reviews but , delegating every change to a cheaper, faster . Inspired by the Devin Fusion "sidekick" pattern from Cognition.

让 AI 不只会“看网页、回答问题”,还能够安全地完成研究、比较、填表和后台操作等多步骤网页任务。

Give every developer — or every AI agent — a real computer in the cloud, and make spinning one up a two-minute, self-service action.