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AI-редактор кода, часто используемый с developer MCP.
MCP Servers
An MCP (Model Context Protocol) server designed to interact with an Abaqus/CAE Graphical User Interface (GUI).
A generic mcp server fuzzer
A flexible gateway server that bridges Model Context Protocol (MCP) STDIO servers to MCP HTTP+SSE and REST API, enabling multi-instance MCP servers to be exposed over HTTP.
A collection of MCP server examples developed with Java SDKs
A Model Context Protocol (MCP) service that provides access to Ansible Automation Platform (AAP) APIs through OpenAPI specifications.
Typescript library for integrating Adyen APIs via an MCP server
A lightweight wrapper around mcp-swift-sdk that integrates with LLM Swift libraries such as SwiftOpenAI and SwiftAnthropic to easily create your own MCP Clients in macOS applications.
This repository contains TypeScript packages for integrating Ory authentication and access control with the Model Context Protocol (MCP).
AutoGenesis is an AI-powered automated testing framework based on Model Context Protocol (MCP), supporting multiple platforms including desktop applications (Windows/macOS) and mobile applications...
FastMCP Server for Sefaria
A Model Context Protocol (MCP) server for linkedin to apply Jobs and search through feed seamlessly.
A self-hosted error tracking engine for Rails 8+ applications. Track errors, get notified, and resolve issues—all without external services.
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!