Stock News Monitoring via Search MCP Pipeline

import requests, os, json
from datetime import date

API_KEY = os.environ["SCAVIO_API_KEY"]
MCP_URL = "https://mcp.scavio.dev/mcp"
MH = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

WATCHLIST = [
    {"ticker": "AAPL", "name": "Apple"},
    {"ticker": "NVDA", "name": "NVIDIA"},
    {"ticker": "MSFT", "name": "Microsoft"},
    {"ticker": "GOOGL", "name": "Alphabet"},
]

EVENT_KEYWORDS = {
    "EARNINGS": ["earnings", "revenue", "quarterly", "beat", "miss", "eps"],
    "ANALYST": ["upgrade", "downgrade", "price target", "analyst", "rating"],
    "SEC_FILING": ["sec filing", "10-k", "10-q", "8-k", "proxy"],
    "GENERAL": [],
}

def mcp_search(query: str) -> dict:
    payload = {
        "jsonrpc": "2.0", "id": 1,
        "method": "tools/call",
        "params": {"name": "search", "arguments": {"query": query, "country_code": "us"}}
    }
    resp = requests.post(MCP_URL, headers=MH, json=payload, timeout=15)
    return resp.json().get("result", {})

def classify_event(title: str) -> str:
    title_lower = title.lower()
    for event_type, keywords in EVENT_KEYWORDS.items():
        if any(kw in title_lower for kw in keywords):
            return event_type
    return "GENERAL"

def monitor_stocks():
    briefing = []
    for stock in WATCHLIST:
        query = f"{stock['ticker']} {stock['name']} stock news {date.today()}"
        data = mcp_search(query)
        results = data.get("organic_results", [])[:5] if isinstance(data, dict) else []

        for r in results:
            title = r.get("title", "")
            event_type = classify_event(title)
            briefing.append({
                "ticker": stock["ticker"],
                "event": event_type,
                "title": title,
                "url": r.get("link", ""),
                "snippet": r.get("snippet", ""),
            })

    briefing.sort(key=lambda x: 0 if x["event"] in ["EARNINGS", "ANALYST"] else 1)
    return briefing

news = monitor_stocks()
print(f"Stock briefing for {date.today()}: {len(news)} items")
for n in news[:10]:
    print(f"  [{n['ticker']}] [{n['event']}] {n['title']}")

const MCP_URL = 'https://mcp.scavio.dev/mcp';
const MH = {'Authorization': 'Bearer '+process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};

const WATCHLIST = [
  {ticker:'AAPL', name:'Apple'},
  {ticker:'NVDA', name:'NVIDIA'},
  {ticker:'MSFT', name:'Microsoft'},
  {ticker:'GOOGL', name:'Alphabet'},
];

const EVENT_KEYWORDS = {EARNINGS:['earnings','revenue','quarterly','beat','miss','eps'], ANALYST:['upgrade','downgrade','price target','analyst','rating'], SEC_FILING:['sec filing','10-k','10-q','8-k','proxy']};

async function mcpSearch(query) {
  const payload = {jsonrpc:'2.0', id:1, method:'tools/call', params:{name:'search', arguments:{query, country_code:'us'}}};
  const r = await fetch(MCP_URL, {method:'POST', headers:MH, body:JSON.stringify(payload)});
  return (await r.json()).result || {};
}

function classifyEvent(title) {
  const t = title.toLowerCase();
  for (const [type, kws] of Object.entries(EVENT_KEYWORDS)) {
    if (kws.some(kw=>t.includes(kw))) return type;
  }
  return 'GENERAL';
}

async function monitorStocks() {
  const briefing = [];
  const today = new Date().toISOString().split('T')[0];
  for (const stock of WATCHLIST) {
    const data = await mcpSearch(stock.ticker+' '+stock.name+' stock news '+today);
    const results = (data.organic_results || []).slice(0,5);
    for (const r of results) {
      briefing.push({ticker:stock.ticker, event:classifyEvent(r.title||''), title:r.title||'', url:r.link||'', snippet:r.snippet||''});
    }
  }
  briefing.sort((a,b)=>(['EARNINGS','ANALYST'].includes(a.event)?0:1)-(['EARNINGS','ANALYST'].includes(b.event)?0:1));
  return briefing;
}

const news = await monitorStocks();
console.log('Stock briefing: '+news.length+' items');
for (const n of news.slice(0,10)) console.log('  ['+n.ticker+'] ['+n.event+'] '+n.title);