Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers

This directory contains a Model Context Protocol (MCP) server designed to allow AI agents to interact with Jupyter Notebook (.ipynb) files. It was created to overcome a limitation with Cursor.

Once you get the mcp server running you need to initialize the rules (custom-modes) for the agent you are using

A Model Context Protocol (MCP) server that gives AI assistants the ability to render, export, and analyze 3D models using OpenSCAD. Built with FastMCP for Python.

A Model Context Protocol (MCP) server that provides comprehensive stock screening and fundamental analysis capabilities using Finviz data.

Search, read, organize, reply to, and send email through supported password- or app-password-based IMAP/SMTP accounts—from Claude, Cursor, Codex, and other MCP clients.

A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs. for specific APIs or services.

A Node.js application that connects WhatsApp Web with AI models through the Model Context Protocol (MCP).

Similar to Firecrawl's API but self-hosted and free. Perfect for integrating web scraping into your AI workflows with OpenAI Agents SDK, Cursor, Claude Code, and other MCP-compatible tools.

A complete, robust Model Context Protocol (MCP) server for Microsoft OneNote integration with Claude Desktop. Access your entire OneNote knowledge base through natural language queries.

A Model Context Protocol (MCP) server that provides access to the DBLP computer science bibliography database for Large Language Models (accompanying paper accepted to AI4SC @ AAAI-26).

A Node.js Model Context Protocol (MCP) server for searching and downloading academic papers from multiple sources, including arXiv, Web of Science, PubMed, Google Scholar, Sci-Hub, ScienceDirect,...

An open-source MCP server that gives any LLM long-term memory using a knowledge graph + vector search hybrid.
Agent Skills

https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5

Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.

Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).

山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作,一站式搞定人物、大纲、场景、剧本全链路

for quasi-experimental designs in Python.