Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
A simple note-taking MCP server for recording and managing notes with AI models.
MCP Server for Perses
AI-powered FL Studio control via the Model Context Protocol. Beyond piano-roll notes — full in-DAW mixing (Mix Doctor, gain staging, EQ/comp/reverb, reference matching), routing, and composition...
Sweet Home 3D plugin that embeds an MCP server — lets Claude control Sweet Home 3D over HTTP
An MCP server for code reviews using OpenAI and Google models for Claude-code
Use MCP to control Recaf4.0 to achieve methods like decompile/rename
A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to read from and write to your Obsidian vault.
Give your AI assistant its own AI assistants.
The Descope Model Context Protocol (MCP) server provides an interface to interact with Descope's Management APIs, enabling the search and retrieval of project-related information.
MCP server for analyzing WallStreetBets
MCP server for SQL static analysis.
MCP layer for 1C
Agent Skills
The main repository for libraries used to build applications on the Atsign Platform. Three categories: SDKs, libraries, and Flutter widgets.
is an API-first Ruby web framework that combines the developer experience of Rails with fiber-based concurrency.
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。
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upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
A collection of Pi Coding Agent customized instances. Why? To showcase what it looks like to hedge against the leader in the agentic coding market, Claude Code.
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SkillsBench evaluates how well skills work and how effective agents are at using them.
Website • Getting Started • Documentation • Community
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
An interactive five-chapter night walk through a Kyoto mountain temple, rendered live in Three.js.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.