Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
This project provides a server implementation based on the Model Context Protocol (MCP) that acts as a wrapper around OpenAI's Image Generation and Editing APIs (see OpenAI documentation).
A Model Context Protocol (MCP) server for serverboy, allowing LLMs to interact with a GameBoy emulator. Your LLM can... - Load ROMS - Press Keys - Look at the Gameboy Screen - skip frames
This repository contains a Model Context Protocol (MCP) Python server that allows Claude Desktop to interact with Unreal Engine 5.
A Model Context Protocol (MCP) server for controlling Bambu Lab 3D printers. Manage one printer or an entire fleet from any MCP-compatible AI assistant.
those interested in this project might also be interested in this follow-up project, tabular-mcp, which allows running DAX queries against a local PowerBI model. support is highly appreciated !
A Model Context Protocol (MCP) server providing full coverage of the REST API. Manage applications, databases, services, servers, deployments, and more — all from any MCP-compatible AI client.
A production-ready starter template for building Model Context Protocol (MCP) servers with TypeScript.
MCP (Model Context Protocol) server extension for dnSpy, enabling AI agents to decompile and analyze .NET assemblies directly through dnSpy.
A powerful web crawling tool that integrates with AI assistants via the MCP (Model Context Protocol).
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control REAPER DAW for mixing, mastering, MIDI composition, and full music production workflows.
This MCP (Model Context Protocol) server provides web search capabilities using the Claude API. It allows LLMs to access up-to-date information from the web through a standardized interface.
This project is forked from cayirtepeomer/gerrit-code-review-mcp and adapted for GitLab integration.
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!