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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Pacevera

de henryyeh182versión 0.5.8i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.henryyeh182/evidra

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Resumen

Descripción del creador (original en inglés)

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

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Descargar el archivo .mcpb del creador

El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.

Ejecuta esto en tu terminal

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub henryyeh182, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32725 servidores de esta categoría
  • Publicado en el registro más recientemente que el 41% de los otros 32725 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32725 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Pacevera?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.5.8) llegó al registro hace 2 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas MCPB en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, Signoff

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Spec Driven Development

de formulahendry

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

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

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

Se ejecuta en la nube★ 211Actualizado anteayer
Instalar

Signoff

de ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

Se ejecuta en tu computadoraActualizado hoy
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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

Solo se muestra el principio; lee el resto en el repo

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