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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

Documentation • Prompt Decorators Specification

mcpr is an R implementation of the Model Context Protocol (MCP), enabling R applications to expose capabilities (tools, resources, and prompts) to AI models through a standard JSON-RPC 2.0 interface.

An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP).

A Ruby Implementation of the Model Context Protocol

The official Figma MCP server has only read-only tools. You can use AI Agent in Figma Make. But, it is not convenient to chat in Figma Make and then move result to Figma to continue.

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.

A Model Context Protocol server for building Xcode projects directly from LLM applications

MCP integration for Google Calendar to manage events.

A Symfony package designed for building secure servers based on the Model Context Protocol, utilizing Server-Sent Events (SSE) and/or StreamableHTTP for real-time communication.

Google Search Console Insights with Claude AI for SEOs

Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs

MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
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。