Hot Topics MCP

Official2 tools

by jayniebingyu-cyber · Python

Trending topics from Weibo, Baidu, Zhihu & Google Trends for content and market research.

Model Context Protocol (MCP) Server: com.goaimoat/hot-topics

This MCP server, com.goaimoat/hot-topics, provides trending topics aggregated from Weibo, Baidu, Zhihu, and Google Trends. The intent is content and market research, using the server’s topic feed as a basis for identifying what is currently gaining attention.

🛠️ Key Features

Trending topics sourced from Weibo, Baidu, Zhihu, and Google Trends
Focus on content and market research use of trend data

🚀 Use Cases

Content research to identify current topics
Market research based on trending themes across multiple platforms

⚡ Developer Benefits

Provides a single trending-topics data source across the listed platforms
Server description clarifies its research-oriented purpose

Topics

aiclaudemcp-servermodel-context-protocoltrending-topics

Captured live from the server via tools/list.

get_trending

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.

Parameters2

track	string	optional
sources	array	optional

Raw schema

{
  "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

High-engagement community threads (HackerNews + StackExchange) for Reddit GEO content research. Tracks: kids, ai, poa.

Parameters1

track

string

optional

Raw schema

{
  "type": "object",
  "properties": {
    "track": {
      "type": "string",
      "enum": [
        "kids",
        "ai",
        "poa"
      ],
      "default": "ai"
    }
  }
}

README.md3 KBView on GitHub

hot-topics-mcp

M8ven Score

Trending topics for AI agents — Weibo / Baidu / Zhihu (China) + Google Trends (US), plus HackerNews & StackExchange community intel. 2 tools. Zero dependencies, pure Python stdlib.

Hosted (no install): https://hot.mcp.goaimoat.com/mcp
Registry name: com.goaimoat/hot-topics
Free: 10 calls per day per IP. Then $0.03/call.

Built for content-creation and marketing agents that need to know what people are actually talking about right now before they write. Battle-tested in production driving a daily automated content pipeline.

Tools

Tool	What it gives the agent
`get_trending`	Live hot topics from 4 sources, scored against content tracks (`亲子教育`, `AI工具`, `EN_kids`, `EN_ai`, `all`, `raw`), with a built-in sensitive-topic blacklist (death/disaster/crime/politics) so agents never draft around toxic trends
`get_reddit_intel`	High-engagement community threads (HackerNews + StackExchange: Parenting/Workplace/Expatriates) for GEO (Generative Engine Optimization) research — the pain points real users are asking about this week

Why this exists

Trending data is scattered across platforms that expose no API, and each source covers a different audience. An agent that reads only one is working from a partial picture.
This server collects them into one structured response, so the agent sees the whole picture in a single call.
Multi-source with graceful degradation: any one source failing does not break the pipeline. A source that cannot be read is reported as unavailable rather than filled in with guesses.

Quick start

Requires Python 3.8+. No pip install needed.

Claude Desktop / WorkBuddy (`mcp.json`)

json

{
  "mcpServers": {
    "hot-topics": {
      "command": "python",
      "args": ["/absolute/path/to/server.py"]
    }
  }
}

Then ask your agent: "What are today's trending topics in the AI工具 track?" or "Get reddit intel for the kids track and draft a post."

Example tool calls

json

{"name": "get_trending", "arguments": {"track": "AI工具"}}
{"name": "get_trending", "arguments": {"track": "EN_ai", "sources": ["google_trends"]}}
{"name": "get_reddit_intel", "arguments": {"track": "poa"}}

Hosted API (no install, works behind any firewall)

Don't want to run it yourself, or your network can't reach these sources? A hosted version runs 24/7 on our Singapore server — one HTTP GET, JSON back:

code

GET http://43.160.199.215/hotapi/v1/hot?track=EN_ai&key=YOUR_KEY
GET http://43.160.199.215/hotapi/v1/reddit?track=poa&key=YOUR_KEY
GET http://43.160.199.215/hotapi/v1/health

30-day access key: $9 → https://niebingyu.gumroad.com/l/hot-topics-api

Notes

10-minute in-memory cache per source; polite to upstreams.
All sources are public endpoints used for research; respect each platform's terms.
Protocol: MCP over stdio, JSON-RPC 2.0, protocol version 2024-11-05.

License

MIT

Install

Tools (2)

get_trendingget_reddit_intel

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://hot.mcp.goaimoat.com/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "hot-topics": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://hot.mcp.goaimoat.com/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

Model Context Protocol (MCP) Server: com.goaimoat/hot-topics

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

Topics

get_trending

get_reddit_intel

hot-topics-mcp

Tools

Why this exists

Quick start

Claude Desktop / WorkBuddy (mcp.json)

Example tool calls

Hosted API (no install, works behind any firewall)

Notes

License

Install

Remote endpoint

Related servers

Claude Desktop / WorkBuddy (`mcp.json`)