Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️
A simple CLI to run LLM prompt and implement MCP client.
A universal CLI client for MCP. mcpc supports persistent sessions, stdio/HTTP, OAuth 2.1, tasks, JSON output for code mode, proxy for AI sandboxes, x402, and more.
The local runtime, CLI bridge, SDK, drop-in adapters, and wallet/auth/signing layer are MIT and readable here, so you can verify what runs on your machine rather than trust a black box.
MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!
A Playwright-based Node.js tool that bypasses search engine anti-scraping mechanisms to execute Google searches and extract results.
A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei, SQLMap, Hashcat and more.
Agent-native knowledge engine — search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX.
Feishu / Lark 飞书文档与任务管理工具，支持 MCP 服务器和 CLI + Skill 两种使用方式，可无缝集成 Cursor、Claude Code、Cline 等 AI 编码工具
Enable your AI agents to read, analyze, and modify Figma designs.
结合 Vue 3 前端 + FastAPI 后端 + LitServe GPU负载均衡
A MCP server implementation for hyperbrowser
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。