hot-topics-mcp
Fetches live hot topics from Baidu's trending board, with sensitive-topic filtering and scoring against content tracks.
Fetches live trending topics from Google Trends, with sensitive-topic filtering and scoring against content tracks.
Provides high-engagement community threads from HackerNews and StackExchange (Parenting/Workplace/Expatriates) for GEO research, surfacing real user pain points.
Fetches live hot topics from Zhihu's trending board, with sensitive-topic filtering and scoring against content tracks.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@hot-topics-mcpWhat are today's trending topics in the AI tools track?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
hot-topics-mcp
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/mcpRegistry name:
com.goaimoat/hot-topicsFree: 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 |
| Live hot topics from 4 sources, scored against content tracks ( |
| 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 |
Related MCP server: social-trends-mcp-server
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)
{
"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
{"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:
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/health30-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
This server cannot be deployed
Maintenance
Related MCP Connectors
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Trend data from Google Trends, YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam and more
Find rising topics before they peak across search and social. Free key at trendsapi.ai
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