Hyperhuman MCP server

Which MCP servers are Hyperhuman's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-11-01

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Whose server it is

Registry namecc.hyperhuman/hyperhumanverified in the MCP registry

The registry name sits under hyperhuman.cc. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-11-01

Stateanswerschecked 2026-11-01
Tools45
Server calls itselfhyperhuman
Server version0.1.0
Protocol version2025-06-18

On 2026-11-01 the server answered initialize and tools/list without a sign-in. First answer in 205 ms.

Should an agent connect itNot proven either way yet

Whether its tools do the product's job has not been judged yet.
Checked on 3 of the 7 days it takes to judge reliability.

Once connected

Keep approval on for create_drop, export_drop: they delete, send or pay without saying so.
create_drop, create_workout, update_workout, create_program, update_program change data without a sign-in: anyone with the address can call them.
Parameters are untyped or undescribed in 42 of 45 tools: check arguments before calling.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 3, the first on 2026-11-01

INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
Answeredmeasuring3 of the 7 daily checks it takes to print a share
Median first answer167 ms
Space in an agent's context≈ 7,049 tokensthe definitions of all its tools (45), which an agent carries on every turn
Tool definitionsB · 84 of 100
Typed results45 of 45 toolsdeclared outputSchema: results come typed, read once

Parameters without a description: in 42 of 45

What an agent can do with it

can do · generate workout programs for app members
not sure · build exercise video libraries from stock or own footage
not sure · deliver adaptive workout journeys inside a gym or fitness app

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

Tools that delete, send or pay, marked as not destructive: create_drop, export_drop
Tools that change data, on a server that answers without a sign-in: create_drop, create_workout, update_workout, create_program, update_program

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers45 tools · read 2026-11-01

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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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.

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

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

Add it

Claude Code, in a terminal

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

Add to Cursor Add to VS Code

claude.ai, ChatGPT and other clients: add https://mcp.hyperhuman.cc/mcp as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.