Hot Topics MCP
Trending topics from Weibo, Baidu, Zhihu & Google Trends for content and market research.
我該用這個嗎
品質與安全性
A
發現項目(2)
- HIGH
- INFO在 get_reddit_intel 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~221Token(工具定義)
~494 B典型回應大小
極小的注意力影響(128k 上下文的 0.17%)
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案:
{
"mcpServers": {
"hot-topics": {
"url": "https://hot.mcp.goaimoat.com/mcp"
}
}
}遠端端點
https://hot.mcp.goaimoat.com/mcpstreamable-http它能做什麼
工具清單
工具(2)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_trending(track, sources)
Real-time trending topics from Weibo/Baidu/Zhihu (China) and Google Trends (US), scored against content tracks with sensitive-topic filtering. Tracks: 亲子教育, AI工具, EN_kids, EN_ai, all, raw.
輸入結構描述
{
"type": "object",
"properties": {
"track": {
"type": "string",
"enum": [
"亲子教育",
"AI工具",
"EN_kids",
"EN_ai",
"all",
"raw"
],
"default": "all"
},
"sources": {
"type": "array",
"items": {
"type": "string",
"enum": [
"weibo",
"baidu",
"zhihu",
"google_trends"
]
}
}
}
}🟢get_reddit_intel(track)
High-engagement community threads (HackerNews + StackExchange) for Reddit GEO content research. Tracks: kids, ai, poa.
輸入結構描述
{
"type": "object",
"properties": {
"track": {
"type": "string",
"enum": [
"kids",
"ai",
"poa"
],
"default": "ai"
}
}
}社群
證據
近期觀測
已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具