经济预测代理系统

economic-forecasting-mcp/
├── servers/              # MCP servers for data sources
│   ├── fred/            # Federal Reserve Economic Data
│   ├── imf/             # IMF World Economic Outlook
│   └── bea/             # Bureau of Economic Analysis
├── skills/              # Reusable forecasting workflows
│   ├── core-pce-forecast/
│   └── gdp-nowcast/
├── examples/            # Demo notebooks and scripts
├── tests/              # Unit tests
└── docs/               # Documentation

# Install dependencies
pip install -r requirements.txt

# Set up API keys
cp .env.example .env
# Edit .env with your FRED API key

# Run example forecast
python examples/run_core_pce_forecast.py

from agent import ForecastingAgent
from servers.fred import FREDServer

# Initialize agent with MCP server
agent = ForecastingAgent(servers=[FREDServer()])

# Run forecast (agent writes code to fetch data, estimate model, generate charts)
result = await agent.run_forecast(
    "Update Core PCE inflation forecast through 2026 Q4"
)

# Result contains: forecast values, confidence intervals, chart path
# All intermediate data stayed in execution environment