Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Plugin for JADX to integrate MCP server
Model Context Protocol Server for Komodo 🦎 - Enables AI assistants to interact with Docker containers, deployments, stacks, and servers managed by Komodo.
A local Model Context Protocol (MCP) server for TikTok Ads API integration. It lets MCP clients such as Claude Desktop connect to TikTok Ads, authenticate with a TikTok Business app, and use...
A comprehensive Python library and CLI tool for accessing and analyzing Granola.ai meeting data, featuring a complete MCP (Model Context Protocol) server for AI integration.
A Model Context Protocol server for calculating. This server enables LLMs to use calculator for precise numerical calculations.
This server allows you to interact with Amazon's services using the MCP (Model Context Protocol) framework. This lets you use your Amazon account through ChatGPT or Claude AI interfaces.
A Model Context Protocol server that provides Google search capabilities through the Serper API, along with an AI-powered Deep Research tool.
The MCP Server Prompt Generator For Devs is a server that implements the Model Context Protocol (MCP) specialized in providing ready-to-use prompts for developers.
A desktop-native security testing platform built on Rust and Tauri with native Model Context Protocol (MCP) integration for AI-driven vulnerability research.
Binance MCP Server enables AI assistants like , , and other MCP-compatible clients to interact directly with the Binance cryptocurrency exchange.
InsForge turns your coding agents into full-stack builders, letting them add backend features like auth, databases, file storage, serverless functions, and LLMs to your apps in seconds.
It shows how to use model-context-protocol.
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!