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perfdog_mcp

modelscope·@kimjeonghyun225-cpu/perfdog_mcp

testing-and-qa-tools0下载LocalModelScope

简介

暂无描述。

MCP Server 详情

来自 ModelScope 索引

PerfDog to Tableau MCP Servers

Automate PerfDog mobile game performance data download and conversion to Tableau-ready CSV format.

Python 3.10+ License: Internal

Features

PerfDog Server

  • Auto-login with session persistence
  • Bulk download Excel performance data from PerfDog projects
  • API integration for case metadata
  • Smart naming {Device}_{Case}.xlsx

Tableau Converter

  • Summary CSV - Device-level statistics (FPS, CPU, Memory, Jank, etc.)
  • TimeSeries CSV - Second-by-second performance metrics
  • Platform detection - Auto-detect iOS/Android from device info
  • CPU normalization - Proper CPU calculation per platform
  • Package name extraction - Include app package in filename

Installation

Quick Install

pip install git+https://github.com/kimjeonghyun225-cpu/perfdog_MCP.git

Manual Setup

  1. Clone the repository

    git clone https://github.com/kimjeonghyun225-cpu/perfdog_MCP.git
    cd perfdog_MCP
    
  2. Install dependencies

    pip install -r requirements.txt
    
  3. Configure Claude Desktop

    Windows: Edit %APPDATA%\Claude\claude_desktop_config.json

    macOS: Edit ~/Library/Application Support/Claude/claude_desktop_config.json

    Add:

    {
      "mcpServers": {
        "perfdog": {
          "command": "python",
          "args": ["C:/path/to/perfdog_MCP/perfdog_mcp_server.py"]
        },
        "tableau-converter": {
          "command": "python",
          "args": ["C:/path/to/perfdog_MCP/tableau_converter_MCP.py"]
        }
      }
    }
    
  4. Restart Claude Desktop

Usage

With Claude Skill (Recommended)

  1. Install the Claude Skill

    • Download perfdog-tableau-converter.skill
    • Upload to Claude.ai Settings Skills
  2. Use with Claude

    "Convert this PerfDog project to Tableau:
    https://perfdog.wetest.net/taskdata/191797/cases
    
    Output: C:\Users\me\Desktop\tableau
    Project name: PUBG_v3.8.0"
    

Direct MCP Usage

Claude will automatically:

  1. Ask for PerfDog credentials (first time only)
  2. Request project URL, output path, and project name
  3. Download all Excel files
  4. Convert to Tableau CSV format
  5. Report completion

Output Files

Summary CSV (summary_{project}.csv)

Device-level statistics including:

  • Device info (Type, Product, Platform)
  • FPS metrics (Avg, Median, Max, 1% Low)
  • Stability indicators (MedRange, Std, Smooth Index)
  • CPU & Memory (Avg, Peak)
  • Jank metrics (Jank, BigJank, Drop FPS)

TimeSeries CSV (fps_{project}.csv)

Per-second measurements including:

  • FPS, CPU, Memory, GPU
  • Network (Recv/Send)
  • Temperature
  • Platform-specific metrics

Development

Project Structure

perfdog_MCP/
 perfdog_mcp_server.py          # PerfDog downloader MCP server
 tableau_converter_MCP.py       # Tableau converter MCP server
 requirements.txt               # Python dependencies
 README.md                      # This file
 perfdog-tableau-converter.skill # Claude Skill

Dependencies

mcp>=1.0.0
aiohttp>=3.9.0
aiofiles>=23.2.0
pandas>=2.0.0
openpyxl>=3.1.0

Use Cases

  • QA Performance Testing - Automate test data collection
  • Version Comparisons - Compare performance across game versions
  • Dashboard Creation - Feed data into Tableau dashboards
  • Regression Analysis - Track performance trends over time

Configuration

Session files and logs are stored in:

  • Session: ~/.perfdog_mcp/perfdog_session.json
  • Logs: ~/.perfdog_mcp/perfdog_downloader.log and tableau_converter.log
  • Downloads: ~/Desktop/perfdog_downloads/

Troubleshooting

Login fails

  • Verify credentials at https://perfdog.wetest.net
  • Check logs in ~/.perfdog_mcp/

MCP server not recognized

  • Restart Claude Desktop completely
  • Verify paths in claude_desktop_config.json
  • Check Python is accessible from command line

Path issues

  • Windows: Use double backslashes C:\\Users\\...
  • macOS/Linux: Use forward slashes /Users/...

Support

  • GitHub Issues: https://github.com/kimjeonghyun225-cpu/perfdog_MCP/issues
  • Internal: KRAFTON Compatibility QA Team

License

Internal use - KRAFTON

Credits

Developed by KRAFTON Compatibility QA Team for mobile game performance testing automation.

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自动安装

点击按钮会唤起 PolarBear 客户端,并把当前 MCP Server 的 Markdown 详情文档地址传给客户端。

/api/mcps/kimjeonghyun225-cpu-perfdog_mcp/markdown
打开 PolarBear 安装查看 Markdown 文档

手动安装

在 PolarBear 或其他支持 MCP 的客户端中,新建 MCP Server,并参考下方来源或安装提示配置。

pip install git+https://github.com/kimjeonghyun225-cpu/perfdog_MCP.git

基本信息

分类
testing-and-qa-tools / app-automation / developer-tools
运行方式
No
许可证
Unknown
详情文件
kimjeonghyun225-cpu-perfdog_mcp.md