DeepVLab Analytics MCP 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

MCP Servers