#!/usr/bin/env python3
"""
Example usage of the Competitive Intelligence & Daily Planning MCP tool.
This script demonstrates how to use the MCP server with different tools.
"""
import asyncio
import json
import sys
from pathlib import Path
# Add src directory to path
src_path = Path(__file__).parent / "src"
sys.path.insert(0, str(src_path))
# Import modules
from competitive_intelligence.data_sources import get_competitor_news, get_tech_news
from competitive_intelligence.analysis import analyze_market_trends, summarize_competitor_activity
from competitive_intelligence.report_generation import generate_intelligence_report
from daily_planning.calendar_integration import get_calendar_events, get_upcoming_tasks
from daily_planning.task_prioritization import prioritize_tasks, assess_impact
from daily_planning.plan_generation import create_daily_plan
async def example_competitive_intelligence():
"""Example of using competitive intelligence tool."""
print("=== Competitive Intelligence Example ===")
# Get competitive intelligence for sample competitors
result = get_competitive_intelligence(
competitors=["CompetitorA", "CompetitorB"],
focus_areas=["pricing", "product_launches"]
)
print(f"Report generated for {len(result['competitors'])} competitors")
print(f"Key insights: {len(result['key_insights'])}")
print(f"Recommendations: {len(result['recommendations'])}")
# Save report to file
reports_dir = Path(__file__).parent / "reports"
reports_dir.mkdir(exist_ok=True)
report_file = reports_dir / "example_intelligence.json"
with open(report_file, "w") as f:
json.dump(result, f, indent=2)
print(f"Report saved to {report_file}")
async def example_tech_news():
"""Example of using tech news sources."""
print("\n=== Tech News Example ===")
# Get tech news from multiple sources
result = get_tech_news(
sources=["techcrunch", "verge"],
date_range="2023-01-01/2023-01-02"
)
print(f"Tech news gathered from {len(result)} sources")
# Save report to file
reports_dir = Path(__file__).parent / "reports"
reports_dir.mkdir(exist_ok=True)
report_file = reports_dir / "example_tech_news.json"
with open(report_file, "w") as f:
json.dump(result, f, indent=2)
print(f"Tech news report saved to {report_file}")
async def example_daily_planning():
"""Example of using daily planning tool."""
print("\n=== Daily Planning Example ===")
# Create daily plan
result = create_daily_plan(
calendar_source="google",
task_sources=["email", "jira"],
focus_areas=["strategic", "operational"],
time_available_hours=8
)
print(f"Plan created for {result['plan_date']}")
print(f"Top priorities: {len(result['top_priorities'])}")
print(f"Time blocks: {len(result['time_blocks'])}")
# Save plan to file
reports_dir = Path(__file__).parent / "reports"
reports_dir.mkdir(exist_ok=True)
plan_file = reports_dir / "example_daily_plan.json"
with open(plan_file, "w") as f:
json.dump(result, f, indent=2)
print(f"Plan saved to {plan_file}")
async def main():
"""Run example usage."""
if len(sys.argv) < 2:
print("Usage: python example_usage.py [intelligence|planning]")
return 1
mode = sys.argv[1]
if mode == "intelligence":
await example_competitive_intelligence()
elif mode == "planning":
await example_daily_planning()
else:
print(f"Unknown mode: {mode}")
return 1
return 0
if __name__ == "__main__":
exit(asyncio.run(main()))
