Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Turns the training evidence you already have into a decision about today's session.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
リンク先は作者自身のファイルです。私たちが置いたり再パッケージしたりしたものではありません。ファイルを開くと、Claude Desktopがインストールします。
ターミナルでこれを実行します
ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント henryyeh182 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.5.8)がレジストリに届いたのは2 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにMCPBも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Signoff
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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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