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Hyperhuman

MCP server · hosted · v0.1.0 · cc.hyperhuman/hyperhuman
Online · tested 8h agoNEW · 8h agoSeen in the registry 7h ago

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

What it does

Hyperhuman is an MCP server, a connector that lets an AI assistant use it as a tool. It is hosted: an assistant connects to it over the internet, nothing to install.

No capability identified yet from its description.

Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence). None of this is a test of the tool.

At a glance

Hosted (remote)YES
Local installNO
Version0.1.0
PriceNot in the registry
First seen01 Nov 2026
Last checked7h ago

How to connect

As declared in the Official MCP Registry · hosted endpoint tested by Electra Index 8h ago (live check)

Hosted endpoint

  • https://mcp.hyperhuman.cc/mcp streamable-http

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

MCP settings (Claude Desktop, Cursor and other MCP clients)

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

Live check

Electra Index connected to the hosted endpoint 8h ago

ONLINE Hyperhuman answered an MCP connection on 01 Nov 2026 and introduced itself as hyperhuman 0.1.0 (MCP protocol 2025-06-18).

45 tools offered to AI assistants

  • 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
  • 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
  • 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
  • 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
  • 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 rea
  • 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 d
  • 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.
Show 33 more
  • 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 inst
  • 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 autom
  • 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
  • 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 f
  • 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 exerc
  • 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
  • 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
  • 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.

What "online" means: the server answered an MCP connection at the time of the check. It is not a guarantee of security, quality or continuous uptime. How we test: we open an MCP session and ask for the tool list, as an AI assistant would. We never run a tool and never send a key. Checked every few days. Method

Is this your server? Monitoring Pro: a check every 30 minutes and an email within the hour when it stops answering. Launch offer: $39.99 once, for life.

Facts & evidence

Each fact shows where it was seen and when.
FactValueEvidenceSourceLast confirmed
Hosted endpointhttps://mcp.hyperhuman.cc/mcpDECLAREDSRC-001 Official MCP Registry7h ago
Local install (package)noDECLAREDSRC-001 Official MCP Registry7h ago
Remote access (hosted)yesDECLAREDSRC-001 Official MCP Registry7h ago
Websitehttps://mcp.hyperhuman.cc/DECLAREDSRC-001 Official MCP Registry7h ago
Registry statusactiveDECLAREDSRC-001 Official MCP Registry7h ago
Version0.1.0DECLAREDSRC-001 Official MCP Registry7h ago
MCP serveryesDECLAREDSRC-001 Official MCP Registry7h ago

Change history

  • NEW01 Nov 2026
    first seen in the index

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Questions about Hyperhuman

How do I connect Hyperhuman?

Use the hosted endpoint https://mcp.hyperhuman.cc/mcp in your assistant's MCP settings. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.

What tools does Hyperhuman offer?

When Electra Index connected on 01 Nov 2026, it listed 45 tools: get_integration_plan, list_sample_workouts, get_workout_details, get_workout_playlist, get_embed_code_samples, list_team_workouts, get_team_workout, list_team_programs and more. The full list is in "Live check" above.

Is Hyperhuman online?

Yes. Its hosted endpoint answered an MCP connection from Electra Index 8h ago.