Server definition

Hash: sha256:05ec17cf7d2a154afdbbe7e941f90e0b13fcca57675191228633606b5493e9e2
What it is: What a remote MCP server returned when asked what it offers: 21 tools

The blob, as servednamed by its sha256

{
  "instructions": "TrendHub 2.0 is an evidence-first AI content workspace and professional trend intelligence MCP. It keeps the stable 21-tool compatibility facade, Entity-first research, Decision View, Unified Evidence Contract and trendhub:// Resources, then turns verified research into persistent briefs, editable artifacts, review stages, publishing preparation and evaluation. The Skill page uses the current host AI when available and can connect to a user-controlled OpenAI-compatible local model; TrendHub never stores the user's model credential. Prefer commercially usable open-weight models that fit the task and runtime, while keeping model output replaceable and separate from factual Evidence. Missing/degraded data is explicit and never fabricated; NOT_COLLECTED/UNAVAILABLE/STALE/OFFLINE/AUTH_REQUIRED/RATE_LIMITED are distinct from observed zero or absence. Use professional_intelligence for business entities, analyze_topic for topics, get_trending for raw rankings, and get_content_brief for evidence-backed creation context. Forecasts are not probabilities and unknown factual claims remain unknown.",
  "tools": [
    {
      "description": "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。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "geo": {
            "description": "Google Trends 地区，留空全球",
            "type": "string"
          },
          "keyword": {
            "description": "要分析的话题",
            "type": "string"
          },
          "timeframe": {
            "description": "趋势时间窗，默认 today 3-m",
            "type": "string"
          }
        },
        "required": [
          "keyword"
        ],
        "type": "object"
      },
      "name": "analyze_topic",
      "outputSchema": null
    },
    {
      "description": "真实场景 Lead-time Benchmark：把 TrendHub 本地历史的最早命中，与用户提供的外部事实 reference_time 对比，计算是否提前24h/72h发现。reference_time 必须来自官方公告、主流爆发点或团队约定的外部 ground truth，TrendHub 不会自己编造基准时间。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "keyword": {
            "description": "Benchmark 话题/关键词",
            "minLength": 1,
            "type": "string"
          },
          "platforms": {
            "description": "可选平台；默认核心平台",
            "type": "string"
          },
          "reference_time": {
            "description": "外部 ground-truth ISO-8601 时间，例如 2026-09-20T09:00:00+08:00",
            "type": "string"
          }
        },
        "required": [
          "keyword",
          "reference_time"
        ],
        "type": "object"
      },
      "name": "benchmark_trend_lead",
      "outputSchema": null
    },
    {
      "description": "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。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "keyword": {
            "description": "关键词或话题，如 'AI眼镜'、'英伟达'",
            "type": "string"
          },
          "platforms": {
            "description": "可选，限定平台调用名，逗号分隔",
            "type": "string"
          }
        },
        "required": [
          "keyword"
        ],
        "type": "object"
      },
      "name": "cross_platform_overlap",
      "outputSchema": null
    },
    {
      "description": "无需关键词，自动聚类发现当前在多个平台共振的话题（基于标题相似度，结果需大模型复核归纳）。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "min_platforms": {
            "description": "至少在几个平台出现，默认2",
            "maximum": 6,
            "minimum": 2,
            "type": "number"
          },
          "platforms": {
            "description": "可选，限定平台，逗号分隔",
            "type": "string"
          },
          "topic": {
            "description": "可选，按话题/关键词筛选聚类结果；支持品牌、campaign、行业议题或平台标签",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "discover_trending_topics",
      "outputSchema": null
    },
    {
      "description": "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。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "category": {
            "description": "信源分类；industry=品牌/商业/广告/媒体组合，可用 list_categories 查看；all=全部",
            "type": "string"
          },
          "keyword": {
            "description": "按关键词过滤标题/摘要",
            "type": "string"
          },
          "limit": {
            "maximum": 100,
            "minimum": 5,
            "type": "number"
          }
        },
        "type": "object"
      },
      "name": "future_signals",
      "outputSchema": null
    },
    {
      "description": "围绕主题聚合真实热点证据、相关搜索词、同平台样本与模板，并在内容工作台中调用使用者当前 AI 产出可编辑制品。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "audience": {
            "description": "目标人群画像",
            "type": "string"
          },
          "geo": {
            "description": "搜索趋势地区",
            "type": "string"
          },
          "goal": {
            "description": "目标，如 涨粉/带货转化/品牌曝光/线索收集",
            "type": "string"
          },
          "open_model_review_public_titles": {
            "description": "仅在使用者要求开源模型复核时设为 true；TrendHub 自托管开放权重模型，无需使用者密钥。只处理主题和本次简报中的公开标题。",
            "type": "boolean"
          },
          "platform": {
            "description": "目标平台，如 douyin/xiaohongshu/weibo/wechat/twitter/douyin-live；all=通用",
            "type": "string"
          },
          "template_id": {
            "description": "模板 id；不传则按 platform 自动匹配",
            "type": "string"
          },
          "topic": {
            "description": "创作主题/要蹭的热点",
            "type": "string"
          }
        },
        "required": [
          "topic"
        ],
        "type": "object"
      },
      "name": "get_content_brief",
      "outputSchema": null
    },
    {
      "description": "获取某个模板的完整结构（章节/目的/写作指引/填空位/checklist）。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "id": {
            "description": "模板 id，如 short-video-script / xiaohongshu-note / marketing-plan",
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_template",
      "outputSchema": null
    },
    {
      "description": "获取当前原始热点榜单并积累本地快照。只问“现在热什么”时使用；生命周期用 trend_intelligence，完整品牌/预测/风险机会用 professional_intelligence。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "category": {
            "description": "分类：social/video/news/tech/dev/ai/global",
            "type": "string"
          },
          "limit": {
            "description": "每个平台返回条数，默认20",
            "maximum": 50,
            "minimum": 5,
            "type": "number"
          },
          "platform": {
            "description": "平台调用名，多个用逗号分隔，如 weibo,zhihu,bilibili,hackernews",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_trending",
      "outputSchema": null
    },
    {
      "description": "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。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "geo": {
            "description": "地区代码，US/CN/TW/HK，留空=全球",
            "type": "string"
          },
          "keywords": {
            "description": "关键词，多个用逗号分隔，如 'AI眼镜,VR头显'",
            "type": "string"
          },
          "timeframe": {
            "description": "如 today 1-m / today 3-m / today 12-m / now 7-d，默认 today 12-m",
            "type": "string"
          }
        },
        "required": [
          "keywords"
        ],
        "type": "object"
      },
      "name": "keyword_trend_curve",
      "outputSchema": null
    },
    {
      "description": "列出平台分类与内容/模板分类",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "list_categories",
      "outputSchema": null
    },
    {
      "description": "列出可查询的全部热点平台（调用名、中文名、分类、数据来源）",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "list_platforms",
      "outputSchema": null
    },
    {
      "description": "列出内置专家内容模板（短视频分镜脚本/小红书/微博/公众号/X线程/直播脚本/营销方案/内容日历/新品发布/标题钩子）。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "platform": {
            "description": "平台，如 douyin/xiaohongshu/weibo/wechat/twitter",
            "type": "string"
          },
          "type": {
            "description": "script=脚本 copy=文案 plan=方案",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_templates",
      "outputSchema": null
    },
    {
      "description": "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。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "days_ahead": {
            "description": "未来节点窗口，默认60天",
            "maximum": 365,
            "minimum": 7,
            "type": "number"
          },
          "geo": {
            "description": "Entity-first 搜索趋势地区，默认 CN；如 CN/HK/US",
            "type": "string"
          },
          "keyword": {
            "description": "要研究的品牌、公司、商业体、产品、Campaign 或商业主体，例如 广州太古汇 / LV / 小米 / Tesla",
            "minLength": 1,
            "type": "string"
          },
          "platforms": {
            "description": "可选平台调用名，逗号分隔；留空时由专业 Source Planner 自动选择零配置核心源",
            "type": "string"
          },
          "refresh": {
            "description": "是否先刷新当前公开数据，默认 true",
            "type": "boolean"
          },
          "report": {
            "description": "附带高管报告格式，默认 json",
            "enum": [
              "none",
              "json",
              "markdown",
              "csv"
            ],
            "type": "string"
          },
          "timeframe": {
            "description": "Entity-first 搜索趋势时间窗，默认 today 3-m",
            "type": "string"
          },
          "verticals": {
            "description": "可选行业/场景，逗号分隔：fashion-luxury,beauty,business-corporate,technology,automotive,finance-markets,marketing-advertising,retail-commerce,culture-entertainment",
            "type": "string"
          }
        },
        "required": [
          "keyword"
        ],
        "type": "object"
      },
      "name": "professional_intelligence",
      "outputSchema": null
    },
    {
      "description": "获取关键词在 Google Trends 的相关搜索词：top（长期热门）与 rising（近期飙升），用于选题与 SEO/搜索流量。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "geo": {
            "type": "string"
          },
          "keyword": {
            "type": "string"
          }
        },
        "required": [
          "keyword"
        ],
        "type": "object"
      },
      "name": "related_queries",
      "outputSchema": null
    },
    {
      "description": "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。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "platforms": {
            "description": "平台调用名，逗号分隔；默认核心平台",
            "type": "string"
          },
          "refresh": {
            "description": "是否先联网刷新一次，默认 false",
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "name": "source_reliability",
      "outputSchema": null
    },
    {
      "description": "立即对各平台落一次历史快照（也可由系统定时调用以持续监测）。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "platforms": {
            "description": "可选，限定平台，逗号分隔",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "take_snapshot",
      "outputSchema": null
    },
    {
      "description": "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）。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "platforms": {
            "description": "可选，限定平台，逗号分隔；默认核心平台",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "trend_change_alerts",
      "outputSchema": null
    },
    {
      "description": "轻量纵向 Trend Intelligence：基于本地真实历史计算生命周期、速度、持续性、扩散、Source Reliability 与确定性置信度；品牌实体、媒体、异常/预测、告警和报告请用 professional_intelligence。历史不足返回 insufficient_history。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "keyword": {
            "description": "要评估生命周期的关键词/话题",
            "minLength": 1,
            "type": "string"
          },
          "platforms": {
            "description": "可选平台，逗号分隔；默认核心平台",
            "type": "string"
          },
          "refresh": {
            "description": "是否先刷新当前数据，默认 true",
            "type": "boolean"
          }
        },
        "required": [
          "keyword"
        ],
        "type": "object"
      },
      "name": "trend_intelligence",
      "outputSchema": null
    },
    {
      "description": "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。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "category": {
            "description": "节点分类，如 tech-event/earnings/ecommerce/holiday-cn/policy",
            "type": "string"
          },
          "days_ahead": {
            "description": "未来天数窗口，默认90",
            "maximum": 365,
            "minimum": 1,
            "type": "number"
          }
        },
        "type": "object"
      },
      "name": "upcoming_events",
      "outputSchema": null
    },
    {
      "description": "管理 TrendHub 本地工作区状态：创建/读取 workspace，维护 owner/editor/analyst/viewer 成员、watchlist、saved query、alert rule 与 audit。只写本地数据目录，不修改第三方平台、不自动上传；公网托管 Web 不暴露该变更接口。list/create 不需要 workspace_id，其余 action 必须提供 workspace_id。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "action": {
            "description": "操作：list/create/get/member_set/watchlist_set/query_save/rule_save/audit",
            "enum": [
              "list",
              "create",
              "get",
              "member_set",
              "watchlist_set",
              "query_save",
              "rule_save",
              "audit"
            ],
            "type": "string"
          },
          "enabled": {
            "description": "rule_save 是否启用，默认 true",
            "type": "boolean"
          },
          "geo": {
            "description": "query_save 的地区/geo 过滤",
            "type": "string"
          },
          "keywords": {
            "description": "watchlist 关键词，逗号分隔",
            "type": "string"
          },
          "limit": {
            "description": "audit 返回条数，默认 200，最大 1000",
            "maximum": 1000,
            "minimum": 1,
            "type": "number"
          },
          "member_principal": {
            "description": "member_set 要新增/更新的非敏感 principal",
            "type": "string"
          },
          "name": {
            "description": "create 的工作区名，或 saved query / alert rule 的显示名",
            "type": "string"
          },
          "platforms": {
            "description": "query_save 的平台调用名，逗号分隔",
            "type": "string"
          },
          "principal": {
            "description": "本地身份映射，例如 local-owner 或公司 SSO 映射后的非敏感 principal",
            "minLength": 1,
            "type": "string"
          },
          "query": {
            "description": "query_save 时的关键词",
            "type": "string"
          },
          "role": {
            "description": "member_set 的目标角色",
            "enum": [
              "owner",
              "editor",
              "analyst",
              "viewer"
            ],
            "type": "string"
          },
          "rule_json": {
            "description": "rule_save 的 JSON 规则对象",
            "type": "string"
          },
          "workspace_id": {
            "description": "工作区 ID；除 list/create 外均必填",
            "type": "string"
          }
        },
        "required": [
          "action",
          "principal"
        ],
        "type": "object"
      },
      "name": "workspace_manage",
      "outputSchema": null
    },
    {
      "description": "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。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "focus": {
            "description": "品牌、Campaign、行业或话题；游客模式会据此收窄推荐流并补充行业公开证据",
            "type": "string"
          },
          "industry_only": {
            "description": "是否只保留品牌营销、商业运营、广告、媒体相关内容，默认 true",
            "type": "boolean"
          },
          "limit": {
            "description": "热门笔记条数，默认30，最多40",
            "maximum": 40,
            "minimum": 5,
            "type": "number"
          },
          "topic_limit": {
            "description": "派生话题词数量，默认20",
            "maximum": 50,
            "minimum": 5,
            "type": "number"
          },
          "with_hotlist": {
            "description": "登录态下是否同时取官方热搜词榜，默认 true",
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "name": "xhs_hot_topics",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:05ec17cf7d2a154afdbbe7e941f90e0b13fcca57675191228633606b5493e9e2 | sha256sum