Claude Desktop 설치 가이드
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MCP Servers

A Model Context Protocol server that validates and renders Mermaid diagrams. This server enables LLMs to validate and render Mermaid diagrams.

OpenEvidence MCP is an unofficial Model Context Protocol server that connects OpenEvidence to Codex, Claude Code, Claude Desktop, Cursor, Cline, Continue, and other MCP-compatible clients through...

A model context protocol server for TriliumNext Notes. This server provides tools to interact with your Trilium Notes instance through MCP. You can use this MCP with triliumnext-skills.

A desktop-native security testing platform built on Rust and Tauri with native Model Context Protocol (MCP) integration for AI-driven vulnerability research.

A Model Context Protocol server that provides Google search capabilities through the Serper API, along with an AI-powered Deep Research tool.

70+ databases in 20 MB. Desktop, Docker, CLI, built-in AI assistant, and MCP Server.

Run any agent — Claude Code, Codex, or holaOS — in one local-first workspace, over your tools, your files, and one shared memory. Frontier models built in, or bring your own keys.

A macOS app that provides an MCP server to your Messages, Contacts, Reminders and more

🕵️♂️ (2-in-1) Email & Username OSINT suite featuring native MCP support for deep data extraction just from a single Email/Username.

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

Common Lisp REPL Superpower for Agents

WhatsApp MCP server
Agent Skills

📄 bruce-doc-converter - Office/PDF 与 Markdown 双向转换,自动渲染 Mermaid 图表,让 AI 轻松读懂你的文档

dsh-agent-teams turns the current DeepSeek Harness session into a captain that can assemble durable sub-agents, split a goal into dependency-aware tasks, and coordinate work through direct messages.

Documentation • 中文文档 • Live Examples • Tutorials

所以做了这个可以蒸馏任意账号/作者写作风格的 agent skill,让写作不再痛苦,不再从 0 开始难产。

High-fidelity AI image prompt reverse-engineering skill for Codex

Agent skills for Railway, following the Agent Skills format.

Built by a physician-researcher, tested on real publications.

一行命令,让你的 AI 助手学会查文献、写综述、跑回归、管引文、写基金—— 科研龙虾 (Research-Claw) 的内置技能库,同时兼容 40+ 主流 Agent 框架。

- 简历精修(针对 AI / Agent 岗位优化) - 项目包装(这是最核心的,根据你过往的工作/实习和项目经历,定制化包装成agent项目,尽量多地融入agent主流技术,以及给你一份面试时口述的逐字稿) - 模拟面试(结合你的项目经历和大厂常问的问题进行深挖) - 全程陪跑(从投递到拿 offer)

다이소(제품/매장/재고), 상품 가격 비교, 주변 음식점/카페, 주유소/유가, 개발자 요청 제출, 롯데마트(매장/상품), GS25(매장/상품/재고), 세븐일레븐(상품/매장/재고/인기검색어/카탈로그), CU(매장/재고), 이마트24(매장/상품/재고), 올리브영(매장/재고), 메가박스(지점/영화/시간표/좌석), 롯데시네마(지점/영화/좌석),...

Bring your Entire context to your agents with cross-agent skills.

把一句「把这个流程做成 Skill」,变成一个真正能被发现、能稳定触发、能通过验证、还能一键开源的 Skill。