Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Create, personalize and deliver branded workouts and programs from any AI assistant.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.hyperhuman.cc/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http hyperhuman https://mcp.hyperhuman.cc/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"hyperhuman": {
"url": "https://mcp.hyperhuman.cc/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"hyperhuman": {
"type": "http",
"url": "https://mcp.hyperhuman.cc/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.hyperhuman.cc/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
get_integration_planReturns 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_workoutsReturns 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_detailsReturns 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_playlistReturns 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_samplesReturns 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_workoutsReturns 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_workoutReturns 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_programsReturns workout programs (collections) for the authenticated user's team. Use when the user asks to see programs, training plans, or workout collections.
get_team_programReturns full details of a workout program from the team. Use when the user selects a program or asks for program structure.
list_team_goalsReturns fitness goals available for programs. Use when creating or generating programs to get valid goal IDs.
list_workout_categoriesReturns workout categories for workouts. Use when creating or updating workouts to get valid category_ids.
list_muscle_groupsReturns muscle groups for exercises. Use when updating exercise metadata or filtering exercises.
list_equipmentReturns equipment for exercises. Use when updating exercise metadata or filtering exercises.
get_team_usageReturns 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_summaryReturns 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_statsReturns 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_dropsReturns social drops (videos, covers, copy) for the team. Use when the user asks about drops, social assets, or ready-to-download content.
get_dashboard_summaryReturns 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_dropCreates 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_copyRegenerates AI copy pack (hook, caption, hashtags, CTA) for a drop. Use when the user wants to refresh or improve the social copy.
regenerate_drop_coverRegenerates AI cover image for a drop. Use when the user wants a new cover for the social asset.
export_dropExports 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_programGenerates an AI training program using team workouts. Use when the user wants to create a multi-week program from their workout library.
create_workoutCreates 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_workoutUpdates 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_programCreates 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_programUpdates 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_groupUpdates an exercise group. Use when the user wants to change name, exercises, rounds, or rest time.
update_exercise_metadataUpdates 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_programsReturns platform stock programs (publisher programs). Use when the user wants to browse or clone stock programs.
clone_stock_programsClones stock programs to the user's team. Use when the user wants to add publisher programs to their library.
update_dropUpdates 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_exercisesReturns exercises from the team library. Use when the user wants to browse exercises, find exercises for workouts, or manage the library.
get_team_exerciseReturns full details of an exercise from the team library. Use when the user selects an exercise or asks for exercise details.
create_exercise_instanceCreates 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_instanceCreates 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_groupCreates 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_clipGenerates 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_statusReturns 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_workoutGenerates 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_workoutsReturns 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_workoutAdapts an existing workout for a user profile. Use when the user wants to customize a workout (duration, difficulty, equipment) without generating from scratch.
recommend_plansReturns 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_planAdapts an existing program for a user profile. Use when the user wants to customize a program.
health_checkReturns MCP server readiness status with a fixed ready message. Use when the user asks if the Hyperhuman app is working, reachable, or connected.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리에 소스 저장소가 없어서, 게시자(hyperhuman.cc)와 코드를 맞춰 볼 수 없어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
239ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 45개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 2개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 5일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, AvaHR
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
저장소에서 README를 찾지 못했어요