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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
A simple Model Context Protocol (MCP) server for generating memes using the ImgFlip API. This server enables AI models and tools to generate meme images from user prompts.
A lightweight, handcrafted implementation of the Model Context Protocol focused on what most users actually need: exposing tools with clean Python type annotations.
Give AI agents or scripts direct control over your parametric design canvas and Rhino rendering tools.
MCP X-Ray is a unified open-source security scanning and penetration testing solution for Model Context Protocol (MCP) servers.
Remote Model Context Protocol (MCP) server for cross-platform ad management. Create, analyze, and optimize campaigns across from any MCP-compatible AI assistant.
B站（Bilibili）MCP Server —— 让 AI 助手直接操作B站。
Automate supported timeline, media, audio, effect, caption, graphics-template, and export workflows through Claude, GPT, or another Model Context Protocol client.
A Model Context Protocol (MCP) server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question.
Godot MCP bridges the gap between AI assistants and the Godot game engine by providing a standardized Model Context Protocol interface.
A Model Context Protocol (MCP) Server for Joplin that enables note access through the Model Context Protocol. Perfect for integration with AI assistants like Claude.
A Model Context Protocol (MCP) for analyzing and querying GitHub repositories using the GitHub Chat API. Official Site: https://github-chat.com
Seamlessly integrate Wolfram Alpha into your chat applications.
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!