Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Model Context Protocol (MCP) server for BatchData.io property and address APIs - Real estate data integration for Claude and other AI assistants
An MCP Server for Linkwarden
MCP server for Indian APIs — GSTIN, IFSC, PAN, UPI, pincode, HSN/SAC. Zero auth. Offline-first. For AI agents.
MCP server for managing project lifecycles
特定のWeb APIに関するBaselineの状況を提供するModel Context Protocolサーバー
MCP toolset for FairyGUI editor automation - let AI assistants operate FairyGUI
AI-powered Adaptive Card MCP server — 9 tools for generating, validating, optimizing cards for Teams, Outlook, Copilot, ChatGPT. npm: adaptive-cards-mcp
Augment Code Context Engine as an MCP
A Model Context Protocol server for 3D Slicer integration
OpenWeb Ninja APIs MCP server
A Model Context Protocol (MCP) server that provides D2 diagram generation and manipulation capabilities.
Model Context Protocol (MCP) server for ISO27001: A stateful Model Context Protocol (MCP) server that gives Claude a complete ISO 27001:2022 Information Security Management System (ISMS).
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.