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PopNx MCPMCP servers for people who use AI · explained in plain words

Hyperhuman

by hyperhuman.ccversion 0.1.0i★ –iRuns in the cloud
Registry namecc.hyperhuman/hyperhuman

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 2 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • Can do 45 things (tools) get_integration_plan, list_sample_workouts, get_workout_details, get_workout_playlist …
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.hyperhuman.cc/mcp

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.hyperhuman.cc/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

  • 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.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ! Caution

    Maker matches the repo

    The registry lists no source repo, so we cannot match the publisher (hyperhuman.cc) to the code

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 239 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 45 tool descriptions and found no hidden instructions to the AI

Compared with others in Otheri

  • More stars than 0% of the other 18379 servers in this category
  • Published to the registry more recently than 86% of the other 18379 servers in this category
  • Basic checks equal to or better than 36% of the other 18379 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Hyperhuman safe?

It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 6 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, NexusWindows

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README from the maker

No README found in the repo

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