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Evidence for your next connection.

Independent measurements of remote MCP servers. Every observation has a timestamp.

Read-only probes

MCP server · Other

Hyperhuman

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

Checks passed
11 / 22

3 failed · 8 not measured

Median response
130 ms

Median of successful probes over 7 days

30-day uptime
Not measured

Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.

Discovered tools
45

Tool definitions returned by this server

Independent monitoring

Health & checks

Status history

Responded

The server completed its last measured handshake. This is an observation, not a guarantee.

Last checked
Check summary by test group
Test areaPassedFailedUnmeasured
ConnectionCan a client connect and discover tools?
500
Reliability & speedDoes it respond consistently and quickly?
004
Access & authenticationWhat is required to use this server?
102
Tool qualityAre the tool definitions usable by an agent?
310
Publisher identityCan the publisher be traced to its source?
222

Unmeasured means there is not enough evidence to decide. How these checks work

Inspect individual checks 22 recorded

Core

  • Pass
    Reachable

    Latest probe returned HTTP 200 in 130 ms.

  • Pass
    Valid handshake

    protocolVersion 2025-11-25, serverInfo.name hyperhuman.

  • Pass
    Lists tools

    tools/list returned 45 tools.

  • Pass
    Current protocol

    Negotiated 2025-11-25. The bar is 2025-06-18 or newer.

  • Pass
    HTTPS

    The endpoint URL is https.

Performance

  • Not measured
    Fast (p50)

    Median latency 130 ms over 1 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.

  • Not measured
    Consistent (p95)

    95th percentile 130 ms over 1 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.

  • Not measured
    Reliable (uptime)

    1 of 1 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.

  • Not measured
    Stable tool list

    Fewer than two successful probes in 30 days, so tool-list stability is not measured.

Access

  • Pass
    Open access

    tools/list succeeded with no credential, and the record declares none.

  • Not measured
    Standard auth

    Auth is not required, so the OAuth metadata check does not apply.

  • Not measured
    Free tier cited

    No publisher quote has been checked.

Tools

  • Pass
    Tools described

    Every tool description is at least 20 characters.

  • Pass
    Valid input schemas

    Every inputSchema is a JSON Schema object.

  • Fail
    Parameters documented

    0 of 239 parameters have a description (0%). The bar is 80%.

  • Pass
    Safety hints

    Every tool sets readOnlyHint or destructiveHint.

Publisher

  • Pass
    Verified namespace

    Listed in the Official MCP Registry.

  • Fail
    Website matches publisher

    The website host does not match the reverse-domain namespace.

  • Fail
    Source repo linked

    No repository URL is on file.

  • Not measured
    Repo owner matches

    This namespace is not an io.github login, so the owner comparison does not apply.

  • Pass
    Recently updated

    Updated 2026-11-01T09:34:11.488454Z, within 180 days.

  • Not measured
    Open-source licence

    No GitHub repository to ask about a licence.

Start using Hyperhuman

Connect to this server

Choose your client, copy the configuration, then enable the server in your client’s MCP settings.

Run this command in your terminal, then restart Claude Code.

Claude Code

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

Capabilities

Tools 45

adapt_plan

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

Discovered
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.

Discovered
clone_stock_programs

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

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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).

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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).

Discovered
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.

Discovered
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.

Discovered
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).

Discovered
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).

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
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.

Discovered
list_equipment

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

Discovered
list_muscle_groups

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

Discovered
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).

Discovered
list_stock_programs

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

Discovered
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.

Discovered
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.

Discovered
list_team_goals

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

Discovered
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.

Discovered
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).

Discovered
list_workout_categories

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

Discovered
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.

Discovered
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).

Discovered
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.

Discovered
regenerate_drop_cover

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

Discovered
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.

Discovered
update_exercise_group

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

Discovered
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.

Discovered
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.

Discovered
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.

Discovered

Recent measurements

Probe history

View status
Latest stored probes. Raw probe rows are kept for 14 days.
CheckedResultResponseTools
Connected130 ms45