aiconfigplaza/acp

Project Overview

ACP (AI-Config-Plaza) is a platform focused on simplifying the configuration of AI programming tools, aiming to solve the problems developers face when using various AI programming tools, such as fragmented configuration, repetitive labor, and high cross-tool switching costs. Through unified configuration management and community sharing mechanisms, AI tool configuration becomes more efficient and simpler.

Core Features

1. Unified management of multiple types of configurations

• Supports multiple configuration formats: covers MCP configuration, Agent.md configuration, custom prompts, agent skills, and more
• Flexible configuration properties: Each configuration can be set with name, description, tag, public/private permissions, and supports likes and download statistics

2. A one-stop solution market

• Combined Configuration Scheme: Package multiple related configurations (such as one Agent configuration + multiple MCP configurations + custom instructions + agent skills) into a complete solution
• Tool Adaptation: The solution is bound to mainstream AI tools (Claude Code, Copilot, Codex, Cursor, etc.) to ensure compatibility

3. One-click CLI tool

1. Log in

First-time use requires logging in and saving the CLI Token:

The system will prompt you to enter the CLI Token, which will be saved in the user’s main directory ~/.acp/token.

2. Application configuration

Pull and apply configuration to local projects:

3. Interaction process

After executing acp apply, the CLI will guide you through the following steps:

1. Select Resource Type: Currently supports Solution
2. Search Configuration: Enter keywords to search, or leave all blank
3. Paginated Browsing: Each page displays 20 records, supporting page flipping up and down
4. Select Configuration: Select the required configuration from the list
5. Select IDE: Choose the target AI IDE type
6. Confirm Overwrite: If the file already exists, it will prompt whether to overwrite

4. Switch languages

ACP CLI supports both Chinese and English interfaces:

Or temporarily set them using environment variables:

Supported language codes:

• zh-CN:Chinese Simplified (default)
• en-US：English

4. Community sharing and collaboration

• Configuration Sharing: Supports setting personal configurations/plans to public for community use
• Interactive Feedback: Give feedback on quality configurations by liking and helping other developers filter them
• Personal Center: Manage the configurations you publish, the resources you collect, and track download and usage data

5. Cross-tool compatibility

• Seamless support for mainstream AI programming tools such as Claude Code, GitHub Copilot, OpenAI Codex, and Cursor
• Unified configuration import/export formats reduce configuration migration costs when switching tools

Contribution Guide

1. Fork the warehouse
2. Create a feature branch (git checkout -b feature/your-feature)