Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
A free, professional, open-source financial analysis and quantitative trading MCP server. It lets you deploy a local financial MCP service with one command, using a departmental architecture that...
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo...
TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges.
A model context protocol (MCP) server for Autodesk Fusion that provides resources and tools from ADSK to an AI client such as Claude or Cursor.
A curated and opinionated list of awesome Model Context Protocol (MCP) best practices as they pertain to building MCP Servers and MCP Clients.
\ Brandon Radosevich*, John Halloran*\ Paper: https://www.arxiv.org/abs/2504.03767
Social Media Scraper - Custom MCP Server
A production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript.
Mobile app automation and verification for AI coding agents. CLI, MCP server, and typed Node.js API for iOS, Android, HarmonyOS, TV, web, macOS, and Linux.
is a RAG (Retrieval-Augmented Generation) framework that transforms your local workspace into a 3D cosmic nebula of knowledge.
Version 3.5.0 | MCP protocol 2024-11-05 | Node.js 18+
MCP Course OReilly
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：