Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
is a local-first skill management platform that turns operational knowledge into structured, searchable, reusable artifacts.
Command-line interface for any Model Context Protocol (MCP) server.
A comprehensive platform for managing and proxying Model Context Protocol (MCP) servers, providing scalable AI service orchestration across multiple microservices.
This tool generates from OpenAPI specifications, creating Python packages that can be used by AI assistants to interact with APIs.
An OAuth 2.1 Authorization Server that adds authentication to any MCP (Model Context Protocol) server without code modification.
— 503 multi-tool tasks backed by a local PostgreSQL database, no external APIs required
The GemCP app is a cross-platform desktop application that creates a seamless chat interface for Google's Gemini AI models with extensible capabilities through a Model Context Protocol (MCP)...
is a command-line tool that seamlessly generates production-ready Model Context Protocol (MCP) server boilerplate from your OpenAPI specifications, enabling you to easily expose your existing APIs as...
A comprehensive system for searching and analyzing German legal texts using vector embeddings and semantic search, consisting of:
A production-ready for seamless integration between Velociraptor DFIR and Large Language Models (LLMs).
A small, fetch-first implementation of the Model Context Protocol (MCP) server APIs.
A Rust framework that bridges clap command-line applications with the Model Context Protocol (MCP)
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!