DeepVLab Analytics Server

A Model Context Protocol (MCP) server for querying DeepVLab account statistics and model usage analytics.

Features

• 🔐 Browser Authorization - Automated login and token management.
• 👤 User Profile - View basic account information and balance.
• 📊 Usage Analytics - Detailed statistics on model usage, daily trends, and quotas.
• 💰 Cost Calculator - Estimate and compare costs across different models.
• 📈 Real-time Data - Fetched directly from DeepVLab API.

Quick Start

1. Installation

git clone https://github.com/yourusername/deepvlab-mcp.git
cd deepvlab-mcp
pip install -r requirements.txt

2. Configuration

Add the server to your claude_desktop_config.json:

{
  "mcpServers": {
    "deepvlab-analytics": {
      "command": "python",
      "args": ["/path/to/deepvlab-mcp/server.py"],
      "env": {
        "PYTHONPATH": "/path/to/deepvlab-mcp"
      }
    }
  }
}

Note: Replace /path/to/deepvlab-mcp with your actual absolute path.

3. Usage

Restart Claude Desktop and simply ask:

• "Login to DeepVLab"
• "Show my account balance"
• "Compare costs for Claude 3.5 Sonnet vs GPT-4o"

Available Tools

Tool	Description
login	Launch browser to authorize and get token
get_user_summary	Get user info and balance overview
get_model_rates	List all models and their rates
get_credits_usage	Detailed credit usage stats
get_model_usage	Usage stats per model
get_daily_usage	Daily usage trends
get_quotas	Quota information
calculate_cost	Calculate cost for specific token counts
estimate_batch_cost	Estimate costs for batch requests
compare_model_costs	Compare costs across multiple models

License

MIT