PerfDog to Tableau MCP Server

PerfDog to Tableau MCP Server

Automates downloading mobile game performance data from PerfDog and converts it to Tableau-ready CSV format with device statistics, FPS metrics, and time-series data.

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README

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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