原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Pacevera

作者:henryyeh182版本 0.5.8i★ –i在你的电脑上运行
注册名称io.github.henryyeh182/evidra

安装

概览

作者提供的说明(英文原文)

Turns the training evidence you already have into a decision about today's session.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

下载作者的 .mcpb 文件

链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。

在终端中运行这条命令

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 henryyeh182 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18374 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18374 个服务器的 43% 更新
  • 基础检查结果等于或优于此分类中其他 18374 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Pacevera 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.5.8)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Happo

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Happo

作者:happo.io

Review Happo's visual and accessibility diffs: inspect comparisons, accept or reject, report flakes.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Pacevera Fitness Decision Engine

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.

Scope

Pacevera provides the following capabilities:

  • Deterministic calculation of recovery state, readiness, muscle-group fatigue, and training load.
  • Session decisions with the types keep, adjust, substitute, defer, and advance.
  • Constraint handling for injuries, equipment, available time, and exercise substitutions.
  • Training-plan generation and caller-owned plan adjustment through preview and commit operations.
  • Structured decision provenance through rule identifiers, measured values, source information, and version metadata.
  • Normalization support for Apple Health, Google Health Takeout, Garmin, Strava, Oura, and WHOOP data shapes.

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.

Architecture

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.

Decision and recommendation

TypeDescription
RecommendationA training suggestion generated without a required prior session or plan.
DecisionA 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.

MCP tools

Decision and planning tools
ToolDescription
assess_fitness_stateReturns recovery, readiness, muscle-group fatigue, and training-load state.
decide_sessionEvaluates a scheduled session and returns the resulting session.
decide_exercise_substitutionSelects a replacement movement subject to injury and equipment constraints.
generate_planGenerates a periodized training plan.
preview_adjust_planReturns a deterministic patch and diff for a caller-owned plan.
commit_adjust_planValidates the plan version and applies a caller-owned patch.
Supporting and read tools
ToolDescription
get_evidence_coverageReports available and missing evidence signals.
explain_decisionReturns the process-local rule and source trace for a previous decision.
submit_outcomeAccepts an observed outcome for a prior case; storage is bounded and local to the configured environment.
search_exercises / get_exerciseQueries the exercise catalog and graph relationships.
search_workouts / get_workoutQueries structured workout content.
get_user_profileReturns caller-supplied user constraints and training settings.
get_training_history / get_training_contextReturns training history and related context.

Evidence and output

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:

  • Only measured or explicitly provided values should be sent. Missing signals are reported in signalCoverage and may lower confidence.
  • A workout without a training-load value is not treated as zero load and is excluded from muscle-group fatigue calculations.
  • RPE may be retained as evidence but is not a term in training-load or muscle-fatigue calculations.
  • Vendor-computed values such as readiness, recovery, and Body Battery are used as reported and are not recomputed by Pacevera.

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 status

Deployment modeStatusBoundary
Local desktop extensionAvailableRuns through stdio on the user's computer. The Pacevera process does not fetch provider data, persist Evidence, or make model calls.
User-controlled private deploymentPlannedIntended to run in a device, private network, or VPC controlled by the user or organization.
Hosted remote deploymentNot availableThe 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.

Privacy

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.

Installation

Pacevera is distributed as a Claude Desktop extension (.mcpb).

  1. Download pacevera.mcpb from Releases.
  2. Optionally verify the SHA-256 checksum published in the release notes:
   shasum -a 256 pacevera.mcpb
  1. In Claude Desktop, open Settings -> Extensions and install the file.
  2. Restart Claude Desktop after installing or upgrading the extension.

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.

Release status

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.

Support

  • Bug reports and technical questions: GitHub Issues
  • Privacy requests: support@pacevera.com

License

Pacevera is proprietary software. See LICENSE for the applicable terms.

Pacevera v0.5.8

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,

normalized/ for what the connection wrote

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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