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AI-редактор кода, часто используемый с developer MCP.
MCP Servers
A comprehensive Model Context Protocol (MCP) server that provides analytics capabilities and tools for interacting with Microsoft Fabric data platform.
This project is a python server that implements the Model Context Protocol (MCP) for Zotero, giving you access to your Zotero library within AI assistants.
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex...
A Model Context Protocol server to connect to the MIRO Whiteboard Application.
A Model Context Protocol server that provides MySQL database operations. This server enables AI models to interact with MySQL databases through a standardized interface.
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A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API.
This repository contains a Model Context Protocol server implementation for Reddit that allows AI assistants to access and interact with Reddit content through PRAW (Python Reddit API Wrapper).
Though I'm fairly confident the overall architecture is sound, and I myself rely on the implementation — so it should work :tm:. But definitely alpha software.
Run any agent — Claude Code, Codex, or holaOS — in one local-first workspace, over your tools, your files, and one shared memory. Frontier models built in, or bring your own keys.
70+ databases in 20 MB. Desktop, Docker, CLI, built-in AI assistant, and MCP Server.
A Model Context Protocol (MCP) server for WooCommerce integration, compatible with Windows, macOS, and Linux.
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!