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
HEY CLI and Agent Skills
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.
Claude Code template for Spring Boot and other staff (included in the tags)
High-performance AI coding agent CLI written in Rust with zero unsafe code
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
A comprehensive code review skill for Claude Code, covering React 19, Vue 3, Rust, TypeScript, TanStack Query v5, and more.
Claude Code skill for improving website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) scores — 16 foundational checks, 6 intelligence dimensions, framework-specific fixes
An OpenCode and Codex CLI plugin that bundles agent skills, MCP servers, parallel execution, and superpowers into a single install.
把你在 B 站收藏的访谈/演讲/课程，变成可检索、可追溯来源的**。 适合：访谈/演讲/课程、技术视频与学习视频整理、公开课复盘、知识总结、会议/分享回顾、播客内容归档等。
Reusable agent skills for Codex and other Agent Skills compatible tools.
Resource as Code for Apache Kafka and beyond Topics, ACLs, schemas, quotas, and connectors: declared in Git, reconciled against your real clusters. Kafka-first. Platform-ready.
Autonomous AI coding with spec-driven development