Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
MCP server exposing SSH control for Linux servers via Model Context Protocol.
A Model Context Protocol (MCP) server that provides tools for interacting with Trello boards.
Real-time data — and real trades — for Claude and any AI agent.
A free Laragon / XAMPP / Herd alternative.
An MCP server that can bridge various LLMS (Claude and Cursor tested) with the x64dbg debugger, providing direct access to debugging applications through prompts.
A hands-on workshop, presented at AI Engineering Conference Europe, building a multi-agent AI system with two MCP servers: a and a . Both connected to a harness like Claude Code or Cursor.
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.
MCP server for Coolify — 42 optimized tools for managing self-hosted PaaS through AI assistants
The Anytype MCP Server is a Model Context Protocol (MCP) server enabling AI assistants to seamlessly interact with Anytype's API through natural language.
微信读书MCP
This repository contains Model Context Protocol (MCP) servers that enable MCP clients (like Claude Desktop or the cline.bot VS Code extension) to access Google's security products and services:
A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.
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!