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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
An MCP (Model Context Protocol) server for interacting with the Thermomix Cookidoo platform, built with fastmcp.
Runtime intelligence system that makes MCP servers debuggable, testable, and safe to run in production.
Docs • Quickstart • API Reference • Discord
Samples for MCP servers on Windows
Flake with mcp server presets for home-manager and devenv modules
Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers.
OpenOSINT OSINT agent for security researchers and analysts: 18 investigation tools behind a natural-language interface. Use it as a REPL, CLI, MCP server, or browser Web UI.
Minimal, spec-faithful Python framework for building Model Context Protocol (MCP) clients and servers.
MCP Attack Surface Detector - Burp plugin to make manual testing of MCP servers easier in Burp Suite
Model Context Protocol for Wikidata
A Model Context Protocol (MCP) server that provides seamless integration with OpenAI's GPT-5 API through Claude Code.
medusa-mcp is a designed for integration with the Medusa JavaScript SDK. It provides a scalable backend layer for managing and interacting with Medusa’s data models, enabling automation,...
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!