原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Hyperhuman

作者:hyperhuman.cc版本 0.1.0i★ –i在云端运行
注册名称cc.hyperhuman/hyperhuman

安装

概览

作者提供的说明(英文原文)

Create, personalize and deliver branded workouts and programs from any AI assistant.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.hyperhuman.cc/mcp

在终端中运行这条命令

claude mcp add --transport http hyperhuman https://mcp.hyperhuman.cc/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "hyperhuman": {
      "url": "https://mcp.hyperhuman.cc/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "hyperhuman": {
      "type": "http",
      "url": "https://mcp.hyperhuman.cc/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.hyperhuman.cc/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • get_integration_plan

    Returns an integration strategy and step-by-step plan for Hyperhuman workouts or programs: embed (iframe), stream videos (VOD export), or custom player (API + playlist). Use when the user asks how to integrate Hyperhuman or what integration options exist. Pass platform (web/mobil

  • list_sample_workouts

    Returns a workout carousel for sample-workout prompts. When the user is connected via OAuth, lists up to 8 team workouts through the Internal API (Bearer token only — no Content API key required). When not connected, returns up to 6 curated guest samples with embedDemoUrl. Use wh

  • get_workout_details

    Returns workout metadata, preview assets, and summary. Use when the user selects a workout or asks for details about a specific workout. sample-* ids return a curated sample detail (no auth). Connected team workout ids use the Internal API (same data as get_team_workout). Other o

  • get_workout_playlist

    Returns playlist segments with timing and media pointers (progressive MP4/M4A URLs, typically ~7 days). sample-* ids return a curated sample playlist (no auth, no live media URLs). Connected org ids use the Content API when the team has API entitlement. Use when the user wants to

  • get_embed_code_samples

    Returns static copy-paste code templates for workout embeds (keyHandshake iframe), program page embeds, custom player JavaScript, or Content API cURL snippets. All samples contain only placeholder values (YOUR_ORG_ID, YOUR_API_KEY) — no real credentials are fetched or transmitted

  • list_team_workouts

    Returns workouts for the authenticated user's team via Internal API. Use when the user asks to see my team's workouts, my team workouts, or their organization workout library. Requires OAuth. Not for curated sample workouts or guest embed demo (use list_sample_workouts).

  • get_team_workout

    Returns full details of a workout from the team. Use when the user selects a workout or asks for details about a specific workout.

  • list_team_programs

    Returns workout programs (collections) for the authenticated user's team. Use when the user asks to see programs, training plans, or workout collections.

  • get_team_program

    Returns full details of a workout program from the team. Use when the user selects a program or asks for program structure.

  • list_team_goals

    Returns fitness goals available for programs. Use when creating or generating programs to get valid goal IDs.

  • list_workout_categories

    Returns workout categories for workouts. Use when creating or updating workouts to get valid category_ids.

  • list_muscle_groups

    Returns muscle groups for exercises. Use when updating exercise metadata or filtering exercises.

  • list_equipment

    Returns equipment for exercises. Use when updating exercise metadata or filtering exercises.

  • get_team_usage

    Returns usage quotas for the authenticated team (e.g. social drop export count and limits). Use when the user asks about usage, quotas, or limits.

  • get_session_summary

    Returns team name, plan label, and usage limits for the connected account. Use only when the user explicitly asks about their team, plan, or usage quotas.

  • get_api_usage_stats

    Returns API key usage statistics for the current user's team. Use when the user asks about API usage, request counts, or rate limits.

  • list_team_drops

    Returns social drops (videos, covers, copy) for the team. Use when the user asks about drops, social assets, or ready-to-download content.

  • get_dashboard_summary

    Returns dashboard summary: latest created workouts with stats and ready-to-download items. Use when the user asks about dashboard, recent workouts, or content ready for download.

  • create_drop

    Creates a social drop from an exercise, exercise group, workout, or program. Use when the user wants to create social media content from existing content.

  • regenerate_drop_copy

    Regenerates AI copy pack (hook, caption, hashtags, CTA) for a drop. Use when the user wants to refresh or improve the social copy.

  • regenerate_drop_cover

    Regenerates AI cover image for a drop. Use when the user wants a new cover for the social asset.

  • export_drop

    Exports drop assets for a channel (video URL, cover URL, copy pack). Use when the user wants to download assets or prepare a drop for external publishing.

  • generate_program

    Generates an AI training program using team workouts. Use when the user wants to create a multi-week program from their workout library.

  • create_workout

    Creates a workout from exercise and rest instances. Use when the user wants to build a custom workout. Provide either exercise_map (ordered array of instance IDs from create_exercise_instance and create_rest_instance) or instances (raw instance objects). Workout cannot start or e

  • update_workout

    Updates an existing workout. Use when the user wants to change workout name, description, difficulty, visibility, or exercise structure. When only partial fields are provided (e.g. name), the current workout data is fetched and merged automatically.

  • create_program

    Creates a workout program from team workouts. Use when the user wants to organize workouts into a multi-week program. Requires goal_ids (1-2) and workout_ids (min 2).

  • update_program

    Updates an existing program. Use when the user wants to set duration, workouts per week, or edit program metadata. When updating, provide full program data (goal_ids, workout_ids, visibility, difficulty) from get_team_program and merge your changes.

  • update_exercise_group

    Updates an exercise group. Use when the user wants to change name, exercises, rounds, or rest time.

  • update_exercise_metadata

    Updates exercise metadata (name, muscle groups, categories, equipment, skill level). Use when the user wants to fix or improve exercise tagging. Only team-owned exercises can be updated; stock exercises are read-only. Provide at least one field to update besides exercise_id.

  • list_stock_programs

    Returns platform stock programs (publisher programs). Use when the user wants to browse or clone stock programs.

  • clone_stock_programs

    Clones stock programs to the user's team. Use when the user wants to add publisher programs to their library.

  • update_drop

    Updates a drop title or channel preset. Use when the user wants to change drop display title or default export channel. For copy changes use regenerate_drop_copy.

  • list_team_exercises

    Returns exercises from the team library. Use when the user wants to browse exercises, find exercises for workouts, or manage the library.

  • get_team_exercise

    Returns full details of an exercise from the team library. Use when the user selects an exercise or asks for exercise details.

  • create_exercise_instance

    Creates an exercise instance with duration/reps, pace, weight, RPE. Use when building a workout manually - create instances for each exercise, then pass instance IDs to create_workout. Stock and team exercises can be used directly via exercise_id.

  • create_rest_instance

    Creates a rest/break instance for use between exercises in a workout. Use when building a workout manually - create rest instances, then include their IDs in create_workout exercise_map. Workout cannot start or end with rest.

  • create_exercise_group

    Creates an exercise group (circuit or sets). Use when the user wants to group exercises for circuits or micro-workouts. Requires at least 2 exercise IDs.

  • generate_video_clip

    Generates an AI exercise video from a trainer photo (CloneMotion). Use when the user wants to create exercise videos without filming. Before calling, ensure you have the target exercise and image source (upload URL or saved trainer image ID); optionally ask for specific video req

  • get_video_generation_status

    Returns status and result of a CloneMotion video generation job. Use when the user wants to check if a generated video is ready or view the generated variants. Generation can take a few minutes; if status is pending or running, ask the user to check again after waiting.

  • generate_workout

    Generates an AI workout via Content API. Use when the user wants to create a personalized workout on-the-fly. Returns workout structure (not persisted to team library by default).

  • recommend_workouts

    Returns ranked workout recommendations from the organization library (up to 12 workouts in the tool response; optional limit up to 20 is sent to the API). Use when the user wants instant suggestions based on profile (faster than generate).

  • adapt_workout

    Adapts an existing workout for a user profile. Use when the user wants to customize a workout (duration, difficulty, equipment) without generating from scratch.

  • recommend_plans

    Returns ranked program recommendations from the organization library (up to 12 programs in the tool response; optional limit up to 20 is sent to the API). Use when the user wants instant program suggestions.

  • adapt_plan

    Adapts an existing program for a user profile. Use when the user wants to customize a program.

  • health_check

    Returns MCP server readiness status with a fixed ready message. Use when the user asks if the Hyperhuman app is working, reachable, or connected.

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ! 注意

    作者与仓库一致

    注册中心没有列出源代码仓库,因此无法将发布者(hyperhuman.cc)与代码对应起来

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 239 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 45 个工具描述,未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32688 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32688 个服务器的 85% 更新
  • 基础检查结果等于或优于此分类中其他 32688 个服务器的 37%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Hyperhuman 安全吗?

它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于6天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, 御府和田玉 在售作品查询

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

作者的 README

仓库中没有找到 README

问 PopNx