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AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Model Context Protocol server for Roslyn-powered C# refactoring operations
A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge...
A Ticketmaster MCP server that provides query capabilites from the Discovery API
Built by for , the AI-native workspace for creating, publishing, and managing ads.
Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency.
Model Context Protocol Server for Accessing twitter
MCP server for Atlassian tools (Confluence, Jira)
A Model Context Protocol server for retrieving and analyzing issues from Sentry.io
Build effective agents using Model Context Protocol and simple workflow patterns
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Local MCP server for controlling TikTok LIVE Studio through its verified Stream Deck Socket.IO channel.
This is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing:
Agent Skills
Read the skill docs » · Install · Example report · 繁體中文
Agent Skills for automated PR review workflows. Supports GitHub, GitLab, Perforce, and local Greptile CLI reviews.
MotionEyes is an agent-first SwiftUI motion observability system.
把授权照片、主页截图、简介或已有角色档案，转成一套可长期复用的极简手绘图解角色；再把文章、课程、观点或脚本拆成适合传播的长文配图、知识卡、方法拆解图、手机海报或整页 PPT 演讲页面。
My agent skills that I use every day to do real engineering - not vibe coding.
UnrealBridge Give your AI Agent the ability to control and edit Unreal Engine.
MoChat: Reconnecting the World through AI Agents
Perforated is a data-efficiency layer for machine learning that adds artificial to your neural network.
A simple, modern alternative to GNU Make. taskctl is a concurrent task runner that allows you to design your routine tasks and development pipelines in a nice and neat way in a human-readable format...
Portable for writing ML/AI academic papers — from topic to compiled PDF, with verified BibTeX citations, gated workflows, and multi-agent collaboration.
Coordinate multiple AI models to work together as a team. One creates, two review — not for redundancy, but because different models naturally focus on different dimensions.
A community-driven collection of DFIR / incident response : reusable prompts, workflows, and helper files that help practitioners move faster, stay consistent, and maybe—just maybe—get some sleep.