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gallery-mcp-tester

Tests the AuroraView Python API via MCP to detect design defects and code smells iteratively.

44|6|Updated Oct 27, 2025
Search Tags:#code quality#debugging#python#api testing#mcp tool#auroraview
One-click install
npx skills add https://github.com/loonghao/auroraview --skill gallery-mcp-tester
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gallery-mcp-tester
Source: https://github.com/loonghao/auroraview/tree/main/.codebuddy/skills/gallery-mcp-tester
Command: npx skills add https://github.com/loonghao/auroraview --skill gallery-mcp-tester

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify design flaws and code smells in the AuroraView Python API by systematically testing it using the MCP tool.

Core Features & Use Cases

  • Iterative Testing: Follows a cycle of starting the service, invoking the MCP tool, identifying issues, fixing them, and re-testing.
  • Comprehensive API Coverage: Includes tests for basic functionality, source code retrieval, process management, child window interactions, and extension management.
  • Use Case: A developer can use this skill to ensure the robustness and quality of new API features before they are merged into the main codebase.

Quick Start

Start the MCP server by running vx just gallery-mcp 27168 in your terminal.

Frequently Asked Questions about gallery-mcp-tester

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test a Python API for design defects using MCP?▼

To test a Python API for design defects using MCP, start an MCP server on port 27168 and iteratively invoke the tool to identify and fix code smells. This process covers sample retrieval, process management, and extension handling.

What is the MCP tool used for in Python API testing?▼

The MCP tool is used in Python API testing to systematically detect design flaws and code smells. It follows an iterative cycle of invoking API functionalities, identifying issues, and fixing them to ensure robustness.

Do I need to run a specific server to test the AuroraView Python API?▼

Yes, you need to run an MCP server on port 27168 to test the AuroraView Python API. Start the service in your terminal using the `vx just gallery-mcp 27168` command before invoking any tests.

Can I use MCP to test child window operations and extension handling?▼

Yes, you can use MCP to test child window operations and extension handling. The testing framework provides comprehensive API coverage that includes basic functionality, source code retrieval, and process management.

Why does my AuroraView API test fail to connect on port 27168?▼

Your AuroraView API test fails to connect if the MCP server is not running on port 27168. Ensure you execute the `vx just gallery-mcp 27168` command in your terminal to start the service before testing.

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