TrendHub

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

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

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

    How to connect

    How to connect TrendHub to Claude

    The server address to paste into Claude settings:

    https://trendhub-remote-production.up.railway.app/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect TrendHub to ChatGPT

    The server address to paste into ChatGPT settings:

    https://trendhub-remote-production.up.railway.app/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect TrendHub to Cursor

    The server address to paste into Cursor settings:

    https://trendhub-remote-production.up.railway.app/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (21)

    Raw names from tools/list. Only developers need these.

    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_categories列出平台分类与内容/模板分类
    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。
    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。
    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_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）。
    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）。
    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）。
    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。
    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。
    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。
    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。
    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。
    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。
    trend_intelligenceTrend 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。
    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。
    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）。
    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）。
    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。
    professional_intelligenceProfessional 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。
    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。