Hyperhuman MCP Server

by hyperhuman Your server? Claim it

answering

Hyperhuman is answering right now. Last checked 7 min ago. It exposes 45 tools.

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

Uptime history 23 hours of history

23 hours agonow

100.0%

Uptime 24h

85 of 85 checks

Tools

read from the server

323 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Hyperhuman every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

Settings → Connectors → Add custom connector, then paste this address

https://mcp.hyperhuman.cc/mcp

~/.codex/config.toml

[mcp_servers.hyperhuman]
url = "https://mcp.hyperhuman.cc/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 45

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

team

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.

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.

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_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_drops

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

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.

list_team_goals

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

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.

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).

workout

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 end with rest.

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 org ids use the Content API when the team has API entitlement.

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 see the segment structure or how to play a workout.

list_workout_categories

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

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.

exercise

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.

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.

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.

generate

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.

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 requirements. Accepts trainer_image_url (HTTP URL or data:image/... base64) or trainer_image_id from Workout Defaults.

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).

adapt

adapt_plan

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

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.

drop

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.

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.

program

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.

recommend

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.

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).

regenerate

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.

api

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.

clone

clone_stock_programs

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

dashboard

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.

embed

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. Defaults sample_type to embed_prebuilt when omitted. Primary tool when the user asks for embed code, iframe HTML, or API snippet examples. Not for integration strategy or step-by-step plans (use get_integration_plan).

equipment

list_equipment

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

export

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.

health

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.

integration

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/mobile/hardware/cms) and use_case (mvp, programs, ai_generated, corporate_wellness, vod, etc.). Not for copy-paste embed HTML snippets (use get_embed_code_samples for those).

muscle

list_muscle_groups

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

rest

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.

sample

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 when the user asks for sample workouts, a workout carousel, or embed demo preview. Not for full team-library admin views (use list_team_workouts), integration plans (use get_integration_plan), or copy-paste embed HTML (use get_embed_code_samples).

session

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.

stock

list_stock_programs

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

video

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.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.hyperhuman.cc/mcp	streamable-http	answering	259 ms	7 min ago

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Hyperhuman — questions

Answers built from our own checks of this server.

What can Hyperhuman do?

It exposes 45 tools, read directly from the server on our last check. Among them: adapt_plan, adapt_workout, clone_stock_programs, create_drop, create_exercise_group, create_exercise_instance and 39 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is Hyperhuman mostly used for?

Its tools cluster around team, workout and exercise. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is Hyperhuman working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 85 of 85 checks got a reply (100.0%), average response time 323 ms. The bar chart above shows every period we have measured.

How do I connect Hyperhuman?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Hyperhuman need an API key?

No. Hyperhuman completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 45 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Hyperhuman?

It answers our handshake in 323 ms on average, which is faster than 44% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.