Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
A simple, lightweight and fast MCP (Model Context Protocol) server that provides Solidity development capabilities using the Foundry toolchain (Forge, Cast, and Anvil).
DrissionPage MCP Server · Browser automation for Claude Code, Codex, and MCP clients
Spring Boot AI Agent — an out-of-the-box solution that makes your app , , , and .
A Model Context Protocol (MCP) server that enables LLMs to interact with Anki flashcard software through AnkiConnect.
Markmap MCP Server is based on the Model Context Protocol (MCP) that allows one-click conversion of Markdown text to interactive mind maps, built on the open source project markmap.
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AI-Powered Design Workflow Automation Connect Claude AI and other LLMs to Penpot designs via Model Context Protocol
MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling.
🇨🇳 → 优先选择 🚀 🌍 → 选择 🌐 📱 → 所有链接都支持手机浏览器直接下载
Job search, resume tailoring, cover letters & application tracking — available via the Model Context Protocol for Claude Code, Claude Desktop, Cursor, Windsurf, and other MCP clients.
MCP server to expose VS Code editing features to an LLM for AI coding
Local RAG for developers via MCP or CLI. Semantic search with keyword boost for exact technical terms — fully private, zero setup.
Agent Skills
SigNoz Website
Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.
Claude Code skill + Remotion scaffold for building polished product launch videos.
Permissionless infrastructure for agents. No human intervention required.
Develop Swift/iOS projects using VSCode
Sync and store bookmarks locally, manage Field Theory Library and command workflows, and make local context available to Claude Code, Codex, or any agent with shell access.
如果在使用过程中遇到问题，请通过 Issues 反馈功能正确性问题和功能请求，其他问题请通过 Discussions 反馈～
VS Code in the terminal
Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.
Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.
🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...