Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
The local-first knowledge layer for AI development.
A collection of samples, tools, and resources for building applications with SharePoint Embedded — a document storage API built on Microsoft 365.
A powerful command-line tool and MCP server for managing Markdown-Driven Task Management (MDTM) files.
pixiv-cli brings the Pixiv ecosystem to the terminal: discover works and creators, manage accounts and collections, follow artists, bookmark artworks, and download visual works.
An MCP server that queries public SearXNG instances, parsing HTML contents into a JSON result
The purpose of the repo is to teach you how to make MCP servers. The target audience are non-technical with no real coding experience.
Open-source, local-first memory and context for AI agents. One memory store, every agent.
Headless Blender automation via FastMCP — 41 portmanteau tools (150+ ops). Batch mesh/VSE/Grease Pencil, VRM, Gaussian splats; optional live bridge. For Cursor / Claude Desktop.
Local macOS control server for MCP clients and Custom GPT Actions
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The enterprise-grade TypeScript framework for building production-ready MCP servers. Decorators. Dependency Injection. Widgets. One framework to ship AI-native backends.
An MCP server for exploring Israeli government open data (data.gov.il) — with built-in interactive visualizations powered by MCP Apps.
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!