Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

Use MCP to control Recaf4.0 to achieve methods like decompile/rename

A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to read from and write to your Obsidian vault.

Give your AI assistant its own AI assistants.

The Descope Model Context Protocol (MCP) server provides an interface to interact with Descope's Management APIs, enabling the search and retrieval of project-related information.

MCP server for analyzing WallStreetBets

MCP server for SQL static analysis.

MCP layer for 1C

Model Context Protocol (MCP) server for BatchData.io property and address APIs - Real estate data integration for Claude and other AI assistants

An MCP Server for Linkwarden

MCP server for Indian APIs — GSTIN, IFSC, PAN, UPI, pincode, HSN/SAC. Zero auth. Offline-first. For AI agents.

MCP server for managing project lifecycles

特定のWeb APIに関するBaselineの状況を提供するModel Context Protocolサーバー
Agent Skills

uni-app + Vite + Vue 3 + Tailwind CSS 的 VS Code 模板。

AI Trading Analyst for Claude Code. Run full stock analyses with 5 parallel agents, build investment theses, assess risk, screen for opportunities, analyze options, and produce professional PDF...

Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity.

AI 驱动的视频/音频转录工具。有字幕抓字幕,没字幕用 AI 听写——YouTube、B站、本地文件全支持。

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

每支教學影片都會附一個 MD 檔(懶人包),丟給 Claude Code 桌面版就能自動完成。

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.

One Skill turns Claude Code into a full content production pipeline.

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

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。

AI Partner Chat 通过整合用户画像、AI 画像和向量化的个人笔记,提供个性化的、上下文感知的对话体验。这个技能让 AI 能够记住并引用你之前的想法、偏好和知识库,创造出更加连贯和个性化的交互体验。

把文章扔给 agent,它读完内容、问你几个问题,然后输出一段可以直接跑图的封面提示词。标题自动帮你想,构图逻辑全内置好了。