AI Agents Demo

Moti test A Python application showcasing multi-agent AI development tooling — configured with Claude Code, Codex, Cursor AI, Gemini, and GitHub Copilot.

Overview

This repository demonstrates how modern AI coding assistants can be configured side-by-side in a single project. It includes:

• 5 AI Agents — Claude Code (Anthropic), Codex (OpenAI), Cursor AI (Anysphere), Gemini (Google), GitHub Copilot (GitHub)
• 28 Agent Plugins — across JSON, TOML, and YAML formats with both enabled and disabled extensions
• 10 MCP Servers — Model Context Protocol servers in JSON and TOML (with deduplication)
• 12 Agent Skills — specialized capabilities distributed across 6 skill directories

Project Structure

├── .claude/          # Claude Code agent config, plugins & skills
├── .codex/           # Codex agent config (TOML) & skills
├── .cursor/          # Cursor AI extensions, MCP servers & skills
├── .gemini/          # Gemini extensions (YAML/YML) & skills
├── .github/          # GitHub Copilot config & skills
├── .vscode/          # VS Code extension recommendations
├── lib/ai-skills/    # Shared AI skills (custom prefix path)
├── src/              # Sample Python application
├── mcp-servers.toml  # Root-level MCP server definitions (TOML)
├── claude.json       # Claude Code root config
├── .cursorrules      # Cursor AI project conventions
└── .aiexclude        # Codex AI exclusion patterns

Getting Started

pip install -r requirements.txt
python src/app.py

Configuration Formats

Format	Files	Agent
JSON	plugins.json, extentions.json, extensions.json, mcp.json	Claude, Cursor, VS Code
TOML	config.toml, mcp-servers.toml	Codex, Root MCP
YAML	extention.yaml, extention.yml, copilot.yml	Gemini, GitHub Copilot

License

MIT