Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
MCP server for Hugging Face dataset viewer
MCP server that gives AI assistants searchable access to MikroTik RouterOS documentation — 363 pages extracted live from MikroTik's official Docusaurus manual (https://manual.mikrotik.
Offensive Security Dataset Generator — An MCP server that generates high-quality, multi-turn pentesting conversation datasets for fine-tuning security-focused LLMs.
MCP 支持两种通信传输方法：STDIO（标准输入/输出）或 SSE（服务器推送事件），两者都使用 JSON-RPC 2.0 进行消息格式化。STDIO 用于本地集成，而 SSE 用于基于网络的通信。
Qt C++ library for working with AI/LLM Providers and MCP
Contemplative reasoning MCP server — Lotus Sutra wisdom framework with interactive ext-apps journey visualization.
MCP server for computer use & browser automation - screenshot, OCR, click, type, find_text, Chrome/Electron CDP, template matching. macOS, Windows & Android.
Search Solodit's 20,000+ audit findings from Claude Code and Codex CLI.
An MCP server that searches your notes by meaning — reusing the embeddings the Smart Connections Obsidian plugin already generated, and running the same embedding model locally to understand your...
Secure MCP Gateway - Setup Admin level gateway functionality for MCP servers - with guardrails at each MCP server to overcome multiple security issues with using MCPs
This project is a Python-based CapCut processing tool that offers the following core functionalities:
Connects any MCP-compatible AI assistant to Siemens TIA Portal via the Openness API
Agent Skills
This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.
简单说，就是跟 Claude 说一句话，它会帮我从每天的新论文里筛一轮，挑出值得看的，再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令，基本就是：