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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PerfDog to Tableau MCP Servers

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

Python 3.10+ License: Internal

šŸš€ 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

šŸ“¦ 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

šŸ’” 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

šŸ“Š 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

šŸ› ļø Development

Project Structure

perfdog_MCP/
ā”œā”€ā”€ perfdog_mcp_server.py          # PerfDog downloader MCP server
ā”œā”€ā”€ tableau_converter_MCP.py       # Tableau converter MCP server
ā”œā”€ā”€ requirements.txt               # Python dependencies
ā”œā”€ā”€ 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

šŸŽÆ 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

šŸ”’ 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/

šŸ› 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/...

šŸ“ž Support

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

šŸ“ License

Internal use - KRAFTON

šŸ™ Credits

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

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