TrendHub MCP server

Connect TrendHub and your agent gets 21 tools, among them analyze_topic, benchmark_trend_lead, cross_platform_overlap. It answers at https://trendhub-remote-production.up.railway.app/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 4 of 4 times since 16 September 2026; the last check, on 24 October 2026, succeeded.

Status

Answering

Tools

Reliability

4 of 4 checks

Response time

282 ms

Transport

streamable HTTP

Last checked

24 October 2026

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

Description as the publisher wrote it.

The 21 tools TrendHub offers

Tool	What it does
`analyze_topic`	话题研究包：聚合当前共振、搜索曲线/动量、相关词、未来信号、节点与规则情感；需要多年度生命周期、验证预测、品牌实体或高管报告时使用 professional_intelligence。 Inputs: keyword, geo, timeframe
`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。 Inputs: keyword, reference_time, platforms
`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。 Inputs: keyword, platforms
`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）。 Inputs: min_platforms, platforms, topic
`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。 Inputs: category, keyword, limit
`get_content_brief`	围绕主题聚合真实热点证据、相关搜索词、同平台样本与模板，并在内容工作台中调用使用者当前 AI 产出可编辑制品。 Inputs: topic, template_id, platform, goal, audience, geo
`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）。 Inputs: id
`get_trending`	获取当前原始热点榜单并积累本地快照。只问“现在热什么”时使用；生命周期用 trend_intelligence，完整品牌/预测/风险机会用 professional_intelligence。 Inputs: platform, category, limit
`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。 Inputs: keywords, geo, timeframe
`list_categories`	列出平台分类与内容/模板分类
`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）
`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）。 Inputs: type, platform
`professional_intelligence`	Professional Intelligence v3：品牌、公司、商业体、产品、Campaign 的 Entity-first 决策入口。先主动检索主体相关公开证据，再结合生命周期、Source Reliability、Evidence Truth State、异常、6/24/48/72h验证预测、媒体/受众、机会风险与高管报告。品牌/实体研究优先用本工具；纯话题趋势研究才用 analyze_topic；只看当前榜单才用 get_trending。 Inputs: keyword, platforms, verticals, refresh, geo, timeframe
`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。 Inputs: keyword, geo
`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。 Inputs: platforms, refresh
`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）。 Inputs: platforms
`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）。 Inputs: platforms
`trend_intelligence`	轻量纵向 Trend Intelligence：基于本地真实历史计算生命周期、速度、持续性、扩散、Source Reliability 与确定性置信度；品牌实体、媒体、异常/预测、告警和报告请用 professional_intelligence。历史不足返回 insufficient_history。 Inputs: keyword, platforms, refresh
`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。 Inputs: days_ahead, category
`workspace_manage`	管理 TrendHub 本地工作区状态：创建/读取 workspace，维护 owner/editor/analyst/viewer 成员、watchlist、saved query、alert rule 与 audit。只写本地数据目录，不修改第三方平台、不自动上传；公网托管 Web 不暴露该变更接口。list/create 不需要 workspace_id，其余 action 必须提供 workspace_id。 Inputs: action, principal, workspace_id, name, member_principal, role
`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。 Inputs: limit, topic_limit, with_hotlist, focus, industry_only

Add TrendHub to your AI client

Every block below points at https://trendhub-remote-production.up.railway.app/mcp. Pick your client and copy.

Claude Code: one command in your terminal

claude mcp add --transport http trendhub https://trendhub-remote-production.up.railway.app/mcp

Claude Desktop: claude_desktop_config.json

{
  "mcpServers": {
    "trendhub": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://trendhub-remote-production.up.railway.app/mcp"]
    }
  }
}

Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project

{
  "mcpServers": {
    "trendhub": {
      "url": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}

VS Code and GitHub Copilot: .vscode/mcp.json

{
  "servers": {
    "trendhub": {
      "type": "http",
      "url": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}

Zed: Zed settings.json

{
  "context_servers": {
    "trendhub": {
      "url": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}

Windsurf: ~/.codeium/mcp_config.json

{
  "mcpServers": {
    "trendhub": {
      "serverUrl": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}

JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON

{
  "mcpServers": {
    "trendhub": {
      "url": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}

Continue: .continue/mcpServers/neuronto.yaml

name: TrendHub
version: 0.0.1
schema: v1
mcpServers:
  - name: TrendHub
    type: streamable-http
    url: https://trendhub-remote-production.up.railway.app/mcp

Gemini CLI: ~/.gemini/settings.json

{
  "mcpServers": {
    "trendhub": {
      "httpUrl": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}

Codex CLI: MCP server config

{
  "mcpServers": {
    "trendhub": {
      "type": "http",
      "url": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}

Warp: MCP servers, + Add, paste JSON

{
  "mcpServers": {
    "trendhub": {
      "url": "https://trendhub-remote-production.up.railway.app/mcp"
    }
  }
}

Goose: a one-click extension link

goose://extension?url=https%3A%2F%2Ftrendhub-remote-production.up.railway.app%2Fmcp&type=streamable_http&id=trendhub&name=TrendHub

Is TrendHub up right now?

It answered our last check on 24 October 2026 in 282 ms. Over 4 checks since 16 September 2026 it answered 4. Status here comes from Neuronto's own probes, not from the publisher.

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Questions about TrendHub

How many tools does TrendHub have?

21, as returned by the server's own tools/list on 24 September 2026: analyze_topic, benchmark_trend_lead, cross_platform_overlap, discover_trending_topics, future_signals, get_content_brief, get_template, get_trending, and 13 more.

Is TrendHub down?

It answered our last check on 24 October 2026 in 282 ms. Over 4 checks since 16 September 2026 it answered 4.

How do I add TrendHub to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://trendhub-remote-production.up.railway.app/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does TrendHub need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: io.github.zachary-1012. Endpoint host: trendhub-remote-production.up.railway.app. ARD identifier: urn:air:io.github.zachary-1012:mcp:trendhub. First indexed 16 September 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.