MCP Servers

DeepVLab Analytics MCP Server

Enables querying DeepVLab account statistics and model usage analytics, including login, user profile, usage analytics, and cost calculation.

README

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

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