Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Turns the training evidence you already have into a decision about today's session.
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.
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 henryyeh182 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 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.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.5.8)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 MCPB도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, OpenTakeoff
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.
Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Pacevera is a deterministic fitness decision engine exposed through the Model Context Protocol (MCP). It receives normalized training and health evidence supplied by the calling AI host, evaluates recovery and training constraints, and returns a structured decision.
The primary operation is to evaluate an existing scheduled session. A decision describes the change from the scheduled session to the resulting session:
scheduled session (from) -> resulting session (to)
Each decision includes the relevant evidence, applied rules, confidence, signal coverage, and limitations.
Pacevera provides the following capabilities:
keep, adjust, substitute, defer, and advance.Pacevera does not connect to these providers on behalf of the user. The calling host must obtain and normalize provider exports or API responses before passing them to an MCP tool.
AI host
└─ Collects the user's question and evidence └─ MCP server / desktop extension ├─ Evidence normalization ├─ Fitness-state calculation ├─ Training-load calculation ├─ Deterministic rule evaluation ├─ Decision and plan operations └─ Structured result: Decision / Action / Reason
The AI host is responsible for interpreting the user's request, collecting evidence, selecting tools, and presenting the result. Pacevera performs the calculations and rule evaluation; it does not call a model to generate a decision. Given the same code, rule set, and input, the result is deterministic.
| Type | Description |
|---|---|
| Recommendation | A training suggestion generated without a required prior session or plan. |
| Decision | A traceable change applied to an existing scheduled session or plan. |
decide_session requires scheduledSession to establish the prior state. If no scheduled session is provided, the tool returns no_scheduled_session rather than creating a session. Use generate_plan when a plan is required.
Decision output follows five layers:
Evidence -> Fitness State -> Decision -> Action -> Reason
Decision intent and resulting action are separate fields. The same intent may produce different actions depending on the user's equipment, available time, injuries, and scheduled session.
| Tool | Description |
|---|---|
assess_fitness_state | Returns recovery, readiness, muscle-group fatigue, and training-load state. |
decide_session | Evaluates a scheduled session and returns the resulting session. |
decide_exercise_substitution | Selects a replacement movement subject to injury and equipment constraints. |
generate_plan | Generates a periodized training plan. |
preview_adjust_plan | Returns a deterministic patch and diff for a caller-owned plan. |
commit_adjust_plan | Validates the plan version and applies a caller-owned patch. |
| Tool | Description |
|---|---|
get_evidence_coverage | Reports available and missing evidence signals. |
explain_decision | Returns the process-local rule and source trace for a previous decision. |
submit_outcome | Accepts an observed outcome for a prior case; storage is bounded and local to the configured environment. |
search_exercises / get_exercise | Queries the exercise catalog and graph relationships. |
search_workouts / get_workout | Queries structured workout content. |
get_user_profile | Returns caller-supplied user constraints and training settings. |
get_training_history / get_training_context | Returns training history and related context. |
Evidence is supplied by the calling host. It may include recovery measurements, vendor-computed assessments, completed workouts, scheduled sessions, goals, and constraints.
Important input rules:
signalCoverage and may lower confidence.A typical decide_session response has this shape:
{
"decision": { "type": "adjust", "intent": "reduce_today_intensity" }, "action": { "from": { "focus": "Tempo Run", "durationMinutes": 50, "intensity": "high" }, "to": { "focus": "Moderate run", "durationMinutes": 50, "intensity": "moderate" }, "changed": ["focus", "intensity"] }, "confidence": "high", "signalCoverage": { "recovery": { "usable": ["readiness"], "missing": ["sleep"] }, "training": { "usable": ["trainingLoad"], "missing": [] } }, "decisionBasis": { "governingRule": { "ruleId": "EVD-R-002", "measured": { "quantity": "readiness_score", "value": 48 } } } }
Pacevera does not fill missing values with defaults. signalCoverage.recovery describes current recovery-signal availability; signalCoverage.training describes whether recent workouts include the training-load data required for fatigue calculations.
| Deployment mode | Status | Boundary |
|---|---|---|
| Local desktop extension | Available | Runs through stdio on the user's computer. The Pacevera process does not fetch provider data, persist Evidence, or make model calls. |
| User-controlled private deployment | Planned | Intended to run in a device, private network, or VPC controlled by the user or organization. |
| Hosted remote deployment | Not available | The repository contains resource-server readiness code, but production deployment, authorization infrastructure, and hosted privacy controls are not complete. |
The desktop extension has no runtime dependencies beyond the Node.js standard library. It does not use analytics, telemetry, crash reporting, provider accounts, or provider OAuth tokens.
The desktop extension processes the minimum health-related Evidence supplied by the caller for the requested fitness decision. It does not retain, sell, use for model training, or use Evidence for unrelated purposes.
The extension makes no outbound network requests and sends Evidence nowhere. On the user's own computer it does keep durable records: a bounded continuity record, and a local SQLite store holding the decisions it produced, the outcomes the user reports back, and the derived state behind them. Both are the user's to export or delete. The AI host, operating system, imported files, and any host conversation history are outside the extension's control and are governed by their respective policies.
See PRIVACY.md for the complete policy and deployment scope, and TERMS.md for the terms of use. The canonical versions are published at https://pacevera.com/privacy and https://pacevera.com/terms.
Pacevera is not a medical device and does not provide medical advice. It is intended for general fitness and training purposes only.
Pacevera is distributed as a Claude Desktop extension (.mcpb).
pacevera.mcpb from Releases. shasum -a 256 pacevera.mcpb
The extension requires Node.js 20 or newer. Local persistence of decision traces and outcomes needs Node.js 22.5 or newer, which is where node:sqlite exists; on Node 20 or 21 the extension installs and runs without it, and reading your selected export folder for a decision is unaffected. The local plan decision is offered only once this machine holds a plan and its context, so a fresh installation does not list it — that depends on what is stored, not on the Node version.
Claude Desktop and other local MCP hosts are supported through the desktop extension, and Claude's own Dispatch can drive that installed extension from a phone with no remote deployment anywhere in the path — it needs the desktop app running, a Pro or Max plan, and the feature to be available to you. A Pacevera-operated hosted remote deployment is still not available for public use.
The current public release is v0.5.8, using Decision Engine 1.12.0 and base_rules@1.6.1. It includes ten public tools, bounded local continuity, personalized single-workout generation, decision traces, package validation/dry-run/rollback, and an optional local Google Health connection. The Oura and WHOOP readers were implemented from their published API specifications and have not yet been validated against real responses; Apple Health, Garmin, Google Health, and Strava readers were developed from real export files.
Pacevera is proprietary software. See LICENSE for the applicable terms.
The Claude Desktop extension includes Today’s Brief, evidence-first local export reading, and plain-language tool titles. During installation, choose Your exported health data folder and select the parent folder containing any of these optional subfolders:
Your exported health data folder/
├── export_apple_health/ # Apple Health export.xml ├── export_garmin/ # Garmin Export Your Data / DI_CONNECT ├── export_strava/ # Strava activities.csv └── export_google_health/ # raw/ for JSON you pulled yourself,
Pacevera reads the selected folder locally; missing sources are reported as unavailable rather than guessed. The MCPB checksum is published in the release notes.
v0.5.8 includes an optional Google Health connection that runs on your computer. You approve it in your own browser, or by scanning a QR code with a phone; the browser route reaches Google with no Pacevera server anywhere in its path, and the QR route passes through a Pacevera relay that handles only a short-lived authorization handoff — never your health data, your tokens, or the PKCE secret that completes the exchange on your machine. Whichever route you finish cancels the other.
In v0.5.8 the connection normalizes each Google Health response in memory and writes only the resulting evidence; the provider response itself is never written to disk. You can also disconnect from inside the app: it revokes the grant at Google, deletes the stored credential, deletes the evidence earlier syncs wrote, and clears the derived records from the local store. Files you placed in the folder yourself are reported back for you to delete, never removed for you.
This connection is capped at 100 accounts, and Google will warn you that it has not verified the app. Pacevera's Google app moved out of Testing into Production on 2026-08-20, so an invitation is no longer required — but Google's verification review for the health scopes is not complete. Until
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