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

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Axion Planetary MCP has been completely rebuilt on AWS infrastructure for better performance, reliability, and global accessibility. No more Google Cloud setup required!

An MCP server that provides access to arXiv papers through their API.

A standalone Windows MCP server that gives Claude Google search and web research capabilities, powered by SerpAPI. It ships as a single self-contained .exe — no Node.

一个基于 .NET 的 Windows 桌面自动化 MCP (Model Context Protocol) 服务器,为 AI 助手提供与 Windows 桌面环境交互的能力。

Um MCP Server que fornece acesso programático à API do Portal da Transparência do Governo Federal brasileiro através do protocolo MCP.

An MCP server to create secure code sandbox environment for executing code within Docker containers. This MCP server provides AI applications with a safe and isolated environment for running code...

A reasoning implementation for Claude Desktop that lets you use both Beam Search and Monte Carlo Tree Search (MCTS).

This MCP server adds tools and resources for accessing Effect documentation.

Operate Proxmox VE from MCP clients, AI agents, and OpenAPI tooling through one security-conscious control plane for VMs, LXCs, snapshots, backups, ISOs, container commands, and persistent...

grok-search-rs is an — your client (Claude Code, Codex, Cursor, VS Code, …) launches it; you do not run it directly.

MCP Server for running code snippet and show the result.
Agent Skills

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...

Adala is an **utonomous **ta (**abeling) **gent framework.

Beautiful UI components built for Better Auth.

KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.

Your AI skills and agents, finally organized.

Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.

本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读,帮助大家更轻松地掌握 Agent Skills。

A collection of AI agent skills focused on resume optimization, job applications, and career development.

For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.

upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.

📚 Check out the comprehensive docs with detailed guides, examples, and best practices!