Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
The Infisical Model Context Protocol server allows you to integrate with Infisical APIs through function calling. This protocol supports various tools to interact with Infisical.
Advanced filesystem operations for Claude Desktop with large file handling capabilities and Claude-optimized features.
Empower your AI assistants with the ultimate open-source penetration testing arsenal.
A Model Context Protocol (MCP) server implementation that provides deployed CrewAI workflows. This server enables kicking off your deployed crew and inspect the status giving the results of your crew.
A Model Context Protocol (MCP) server for Apache Kafka implemented in Go, leveraging franz-go and mcp-go.
This is a demonstration project showcasing MCP server implementations for network management. Intended for educational purposes, testing, and development environments.
Unofficial community project, not affiliated with Arch Linux.
A Model Context Protocol (MCP) server for executing SAS code, training AutoML projects, scoring models and so much more for SAS Viya environments.
A modular Python MCP (Model Context Protocol) server for analyzing PCAP files. mcpcap exposes protocol-specific analysis tools that accept a local file path or remote HTTP URL at call time, so the...
This repository contains th Metoro MCP (Model Context Protocol) Server. This MCP Server allows you to interact with your Kubernetes cluster via the Claude Desktop App!
A Node.js-based Model Context Protocol (MCP) server for managing Proxmox VE hypervisors: nodes, QEMU VMs, and LXC containers, with configurable permission levels and Terraform/OpenTofu export.
A Model Context Protocol (MCP) server that enables AI assistants like Claude to work directly inside SAP BW/4HANA systems — reading, creating and modifying BW modeling objects via the same internal...
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!