Files
trade-assistant/backend/app/services/mcp_search_server.py
T

106 lines
4.6 KiB
Python

import asyncio
import json
import logging
import os
import subprocess
from typing import List, Dict
from mcp.server.fastmcp import FastMCP
logger = logging.getLogger(__name__)
PROJECT_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", ".."))
NODE_BIN = "/usr/bin/node"
BING_SCRIPT = r"""
const p = require('puppeteer');
(async () => {
const b = await p.launch({headless:true,args:['--no-sandbox','--disable-setuid-sandbox','--disable-blink-features=AutomationControlled']});
const page = await b.newPage();
await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36');
await page.setExtraHTTPHeaders({'Accept-Language':'en-US,en;q=0.9'});
await page.evaluateOnNewDocument(() => { Object.defineProperty(navigator, 'webdriver', {get:()=>undefined}); });
const q = process.argv[process.argv.length - 2];
const max = parseInt(process.argv[process.argv.length - 1] || '10', 10);
const sk = ['bing.com','google.com','facebook.com','twitter.com','instagram.com','youtube.com','reddit.com','amazon.com','wikipedia.org','baidu.com','linkedin.com','pinterest.com','ebay.com','walmart.com','w3.org','whatsapp.com','wechat.com','qq.com','taobao.com','tmall.com','alibaba.com','alipay.com','dict','dictionary','translate','zhihu.com','baike.baidu.com','sogou.com','163.com','sohu.com','sina.com','iciba.com','cambridge','britannica','sciencedirect','mdpi.com','springer','wiley.com','acm.org','ieee.org','researchgate','semanticscholar','ncbi.nlm.nih','nature.com','oup.com','sagepub','tandfonline'];
try {
await page.goto('https://cn.bing.com/search?q=' + encodeURIComponent(q) + '&setlang=en-US&cc=US', {waitUntil:'domcontentloaded',timeout:10000});
await page.waitForSelector('.b_algo', {timeout:5000}).catch(()=>{});
const results = await page.evaluate((m, sk) => {
const reCJK = /[\u4e00-\u9fff\u3400-\u4dbf]/;
const found = []; const seen = new Set();
document.querySelectorAll('li.b_algo').forEach(li => {
const a = li.querySelector('h2 a'); if (!a) return;
let url = (a.href || '').replace(/\/$/,'');
if (!url.startsWith('http') || seen.has(url)) return;
seen.add(url);
if (sk.some(d => url.includes(d))) return;
const hostname = url.replace(/^https?:\/\//,'').split('/')[0];
if (hostname.endsWith('.cn') || hostname.endsWith('.com.cn') || hostname.endsWith('.edu') || hostname.endsWith('.ac')) return;
const title = (a.textContent||'').trim().substring(0,100);
if (reCJK.test(title)) return;
const s = li.querySelector('.b_caption p, .b_lineclamp2');
found.push({title, url, snippet:s?s.textContent.trim().substring(0,200):''});
});
return found.slice(0,m);
}, max, sk);
console.log(JSON.stringify(results));
} catch(e) { console.log('[]'); }
await b.close();
})();
"""
BING_SCRIPT_FILE = os.path.join(os.path.dirname(__file__), "_bing_search.js")
NODE_MODULES = os.path.join(PROJECT_ROOT, "node_modules")
async def search_bing(query: str, max_results: int = 10) -> List[Dict[str, str]]:
try:
with open(BING_SCRIPT_FILE, "w") as f:
f.write(BING_SCRIPT)
env = os.environ.copy()
env["NODE_PATH"] = NODE_MODULES
result = subprocess.run(
[NODE_BIN, BING_SCRIPT_FILE, query, str(max_results)],
capture_output=True,
text=True,
timeout=15,
cwd=PROJECT_ROOT,
env=env,
)
if result.returncode != 0:
logger.warning(f"Bing search failed: {result.stderr[:300]}")
return []
for line in result.stdout.strip().split("\n"):
line = line.strip()
if line.startswith("["):
return json.loads(line)
return []
except subprocess.TimeoutExpired:
logger.warning("Bing search timed out")
return []
except (json.JSONDecodeError, Exception) as e:
logger.warning(f"Bing search error: {e}")
return []
mcp = FastMCP("trade-search", log_level="WARNING")
@mcp.tool(
name="web_search",
description="Search the web for companies, buyers, or business information. Returns title, URL, and snippet for each result. Useful for finding potential customers, researching companies, or gathering market intelligence.",
)
async def web_search(query: str, max_results: int = 10) -> str:
results = await search_bing(query, max_results)
if not results:
return json.dumps({"results": [], "error": None})
return json.dumps({"results": results, "error": None})
def main():
asyncio.run(mcp.run_stdio_async())
if __name__ == "__main__":
main()