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.txt2. 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
