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TrendHub MCP Server

by zachary-1012 Your server? Claim it
answering

TrendHub is answering right now. Last checked 7 min ago. It exposes 21 tools.

Agent-native evidence-first trend intelligence with 21 MCP tools and Professional Intelligence v2.

Uptime history 43 hours of history
43 hours agonow
100.0%
Uptime 24h
91 of 91 checks
21
Tools
read from the server
360 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 9

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 17 September 2026. No other catalogue keeps this.

18 Sep a tool changed version2 times that day
17 Sep a tool changed version4 times that day
17 Sep 2 tools appeared professional_intelligence, workspace_manage
17 Sep a tool changed the parameters it asks for discover_trending_topics
and 4 more, back to 17 September 2026

Nothing serious here today

Today is the operative word: we check TrendHub every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add trendhub --transport http https://trendhub-remote-production.up.railway.app/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "trendhub": {
      "url": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.trendhub]
url = "https://trendhub-remote-production.up.railway.app/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "trendhub": {
      "url": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "trendhub": {
      "url": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}

Available tools 21

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

trend
trend_change_alerts
对比历史快照，输出各平台新晋上榜、排名飙升(≥3位)、掉榜的话题。需要先有两次以上快照（get_trending 会自动积累，或用 take_snapshot）。
trend_intelligence
Trend Intelligence Engine：基于本地真实历史计算生命周期(emerging/accelerating/mainstream/saturating/declining)、排名速度、持续性、跨平台扩散、数据源可靠度和置信度。默认先刷新当前核心平台；历史不足会明确返回 insufficient_history。
analyze
analyze_topic
话题深度情报包：一次性聚合跨平台共振、搜索热度曲线与动量、相关词、未来信号、临近节点、规则情感，供大模型做定性/阶段判断/机会风险分析。
benchmark
benchmark_trend_lead
真实场景 Lead-time Benchmark：把 TrendHub 本地历史的最早命中，与用户提供的外部事实 reference_time 对比，计算是否提前24h/72h发现。reference_time 必须来自官方公告、主流爆发点或团队约定的外部 ground truth，TrendHub 不会自己编造基准时间。
categories
list_categories
列出平台分类与内容/模板分类
content
get_content_brief
专家创作简报：围绕主题聚合真实热点证据、相关搜索词、情感信号、同平台真实爆款样本，并匹配模板，输出逐格填充指引与可直接交给大模型的 productionPrompt。脚本/文案/方案的成稿由调用方大模型完成。
cross
cross_platform_overlap
分析某个关键词/话题当前在多少个平台同时上榜（跨平台共振），给出各平台命中条目、最佳排名与共振分。用于判断一个话题是否具备全网热度。
discover
discover_trending_topics
无需关键词，自动聚类发现当前在多个平台共振的话题（基于标题相似度，结果需大模型复核归纳）。
future
future_signals
聚合高质量科技/AI/商业/营销信源的最新文章（未来趋势信号素材），可按分类或关键词过滤。趋势判断由调用方大模型完成。
keyword
keyword_trend_curve
获取关键词在 Google Trends 上的相对热度时间序列（0-100，非绝对搜索量），支持1-5个关键词对比。
platforms
list_platforms
列出可查询的全部热点平台（调用名、中文名、分类、数据来源）
professional
professional_intelligence
Professional Intelligence v2：统一返回生命周期、速度/持续性/扩散、Source Reliability、鲁棒异常、6/24/48/72h可验证趋势预测、品牌/公司实体解析、公开证据受众/创作者、媒体证据、专业告警与可选高管报告。默认优先零配置且可用的高优先级信源；用户明确选择需要授权的平台时才提示 API/OAuth/本地会话。历史不足时不预测。
related
related_queries
获取关键词在 Google Trends 的相关搜索词：top（长期热门）与 rising（近期飙升），用于选题与 SEO/搜索流量。
source
source_reliability
量化数据源稳定性：UP/DEGRADED/DOWN/AUTH_REQUIRED/RATE_LIMITED、24h/7d/30d ok/usable rate、P50/P95延迟、连续失败、schema drift 信号与历史深度。默认只读本地观测；refresh=true 时先真实刷新一次指定平台。
take
take_snapshot
立即对各平台落一次历史快照（也可由系统定时调用以持续监测）。
template
get_template
获取某个模板的完整结构（章节/目的/写作指引/填空位/checklist）。
templates
list_templates
列出内置专家内容模板（短视频分镜脚本/小红书/微博/公众号/X线程/直播脚本/营销方案/内容日历/新品发布/标题钩子）。
trending
get_trending
获取当下热点榜单。可按 platform（逗号分隔多个平台调用名）或 category（social/video/news/tech/dev/ai/global）查询；都不传则返回跨平台核心榜单。每次查询会在本地积累快照和有界历史，用于趋势变化、生命周期与 benchmark。
upcoming
upcoming_events
查询未来 N 天的趋势节点（科技展会/财报季/政策/电商大促/节假日），含距今天数与预热等级，用于提前布局内容。
workspace
workspace_manage
本地优先协作工作区：owner/editor/analyst/viewer RBAC、监测词 watchlist、保存查询、告警规则、成员与审计日志。只写 TrendHub 本地数据目录；不会修改任何第三方平台，也不会自动上传。公网托管 Web 不暴露该变更接口。
xhs
xhs_hot_topics
小红书热点聚合（主打平台）：一次性返回官方首页『热门推荐流』笔记（含封面/作者/点赞展示值/原文链接）、由热门标题词频派生的高频话题词（非官方热搜词榜）、当前会话模式（游客/登录）。配置环境变量 XHS_COOKIE 后额外返回官方『热搜词榜』。游客零配置即可用热门推荐流。

Endpoints

URLTransportStateLatencyChecked
https://trendhub-remote-production.up.railway.app/mcp streamable-http answering 326 ms 7 min ago

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TrendHub — questions

Answers built from our own checks of this server.

What can TrendHub do?
It exposes 21 tools, read directly from the server on our last check. Among them: analyze_topic, benchmark_trend_lead, cross_platform_overlap, discover_trending_topics, future_signals, get_content_brief and 15 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is TrendHub working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 360 ms. The bar chart above shows every period we have measured.
How do I connect TrendHub?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does TrendHub need an API key?
No. TrendHub completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 21 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is TrendHub?
It answers our handshake in 360 ms on average, which is faster than 43% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.