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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration
Model Context Protocol server for DeepSeek's advanced language models
Public Python SDK, CLI, and MCP server for extracting metadata, text, timed transcripts, media, and supported comments from Douyin, RedNote, Bilibili, and YouTube.
MCP (Model Context Protocol) server for blockchain data interaction through the Bankless API.
Community plugin to control Blender 3D with any LLM of your choice
A Model Context Protocol (MCP) server for Mailgun that gives AI agents a practical, workflow-oriented interface to send email, diagnose deliverability, and manage account operations.
A local-first Model Context Protocol server for reading, searching, and sending through the macOS Messages app.
A powerful Model Context Protocol server for LinkedIn API integration
A unified Model Context Protocol server for MiniMax CLI (mmx)
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex...
Model Context Protocol Server for Komodo 🦎 - Enables AI assistants to interact with Docker containers, deployments, stacks, and servers managed by Komodo.
Chrome DevTools for coding agents
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。