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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
A Model Context Protocol (MCP) server that provides for working with EnergyPlus building energy simulation models.
Model Context Protocol (MCP) server for Hostinger API.
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A Model Context Protocol server that provides debugging functionality for both GDB and LLDB debuggers, for use with Claude Desktop, VSCode Copilot, or other AI assistants.
A TypeScript framework for building MCP servers.
This repository contains Model Context Protocol (MCP) servers that provide various tools and capabilities for AI models.
is a lightweight, open-source Model Context Protocol server that bridges AI agents and the macOS operating system.
A Model Context Protocol (MCP) server for structured real estate workflows. This provides tools, resources, and prompts for property search and insights, agent/client management, market and area...
Create 3D models, add features, and automate CAD workflows using conversational AI.
MCP server for AvaloniaUI
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.
Community plugin to control Blender 3D with any LLM of your choice
Agent Skills
A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.
GPT-Image-2 PPT Generator Skill for Creating Image-Based PowerPoint Presentations in Codex and Other Skill-Compatible Agents
Keep your skills sharp. Intelligence for agent context.
Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
Vercel's official collection of agent skills
会话 · 聊天记录 · 搜索 · 联系人 · 群成员 · 群昵称 · 收藏 · 统计 · 导出
micro-agent orchestrator for local agents
用 GitHub 打造 AI 智能体：长期记忆 + AI Agent 技能包（UI/UX、图片生成、SEO）+ GitHub Actions 自动化 + Copilot 编程 Agent，支持 Vibe Coding 快速孵化项目。
The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.