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

Workfile

de illodevversión 0.13.2i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.illodev/workfile

Instalar

Resumen

Descripción del creador (original en inglés)

Repository-native protocol and local MCP server for Work, Docs, History and durable project Memory.

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: Búsqueda y memoria de IA

Instalación

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

Antes de instalar

Necesitas

  • npmNode.js instalado (para el comando npx)

¿Qué app usas?

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

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "workfile": {
      "command": "npx",
      "args": [
        "-y",
        "@illodev/workfile",
        "mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add workfile -- npx -y @illodev/workfile mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "workfile": {
      "command": "npx",
      "args": [
        "-y",
        "@illodev/workfile",
        "mcp"
      ]
    }
  }
}

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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "workfile": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@illodev/workfile",
        "mcp"
      ]
    }
  }
}

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 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub illodev, 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 Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 7226 servidores de esta categoría
  • Publicado en el registro más recientemente que el 42% de los otros 7226 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7226 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 Workfile?

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 (0.13.2) 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 Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

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

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado hace 3 días
Instalar

Codebase Memory

de DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Se ejecuta en tu computadora★ 48.148MITActualizado hace 20 días
Instalar

Exa

de exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Se ejecuta en la nube★ 5213MITActualizado hace 44 días
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.

The repository is the database.

@illodev/workfile is a repository-native protocol for coordinating Work, Docs, History and durable project Memory between humans and software agents.

Markdown files in the repository are canonical. The CLI, HTTP API and local UI use the same core services, collection registry, index and validation rules. No exclusive state is kept in the browser or in a database.

Work, Docs, History and Memory share the common

ProjectRecord index. The core, CLI, HTTP server and MCP runtime are authored in

TypeScript and distributed as compiled ESM with public declarations. The local UI is

precompiled and included in the package, and semantic search runs on-device through

the optional @illodev/workfile-search-local workspace package.

[Try the live demo](https://workfiledemo.illodev.com) — it replays this repository's own workspace: the real cards, releases, incidents and learnings of Workfile's development. Mutations work per browser session and reset on reload.

https://github.com/user-attachments/assets/c9cd3035-6729-4cda-9172-984829ab5dbc

Used by

In production

Workfile — dogfooding: every release is planned and recorded in this repo's own .project/

Boundaries

Workfile records work. It does not configure agents.

The two get confused because both live next to the same repository. Ecosystem configurators — gentle-ai is a good example — install a persona, curated skills, model routing, MCP servers and review gates into the agents you already use, across many agents at once. Their question is *how your agent works*. Workfile's question is *what was done, who holds it and on what evidence*, and its answer is Markdown files that outlive the agent, the session and this package.

They compose. A well-configured agent still needs somewhere durable to write down what it did.

What is here, and is not a configurator's job:

  • The repository is canonical. A card is a file in the pull request: reviewed in the diff, reported by workfile doctor when malformed. No exclusive state in a browser, a database or ~/.config. Remove the package and the records stay readable.
  • Claims are enforced, not agreed. Ownership is checked at the mutation, so a card another actor holds refuses your transition with CARD_CLAIM_OWNER_MISMATCH instead of quietly accepting it — a guarantee no sentence in a prompt can make.
  • `review` is not `done`. done requires evidence from somewhere the code actually ran. A merge is not evidence.
  • Humans read the same records. The UI, the rendered changelog and the releases are derived from exactly what the agent writes; there is no machine view and human view to keep in sync.

What is deliberately absent: Workfile does not install or update agents, ship a persona, route models or curate a skill catalogue. It syncs its own protocol into the instruction files an agent already reads (workfile agents sync) and exposes every operation over MCP — vendor neutral, but a server, not an ecosystem.

Requirements

  • Node.js 22 or newer.
  • npm, pnpm, yarn or Bun may invoke the package.

Install

Every workfile … command in this README requires the package to be installed — pnpm dlx / npx one-offs run a command and discard the binary afterwards:

pnpm add -D @illodev/workfile     # per repository (recommended)

pnpm workfile doctor # dependency bins run through pnpm / npx

pnpm add -g @illodev/workfile # or globally: workfile lands on your PATH workfile doctor wf doctor # wf is the same binary, for typing by hand

wf is an alias, not a rename: both names reach the same entry point, and the help and error hints answer in whichever one you typed. Keep the long form in anything generated or shared. wf only resolves once the package is installed, and an unrelated wf exists on the registry — so npx wf would fetch someone else's tool where npx workfile fails outright.

pnpm dlx @illodev/workfile init is fine for one-shot initialization, but keep the package as a devDependency afterwards: that is what makes the project* scripts that init adds to package.json resolve. That prefix is an npm script namespace — pnpm project opens the UI, pnpm project:doctor runs the checks — and has nothing to do with the old binary name.

TypeScript API

The published surface exposes JavaScript and declarations through conditional package exports. TypeScript consumers receive typed configuration, workspace, record, search and integration contracts from the root package and every documented subpath:

import {

defineProject, type CardStatus, type ProjectConfig, type ProjectRecord } from "@illodev/workfile"; import { createSemanticSearchProvider } from "@illodev/workfile/search";

const config: ProjectConfig = defineProject({ schemaVersion: 2, name: "Billing", cards: { areas: ["api", "web"] } });

const status: CardStatus = "doing";

The CLI and UI do not require TypeScript in consuming projects. React, Primer, Vite and the UI type packages are build-only dependencies; the installed package serves bundled browser assets from dist/ui.

Workspace

A project is discovered through project.config.mjs and normally stores protocol-owned files under .project/:

project.config.mjs

.project/ ├── VERSION ├── cards/ │ └── archive/ ├── assets/ ├── docs/ ├── changelog/ │ ├── unreleased/ │ └── releases/ ├── memory/ │ ├── learnings/ │ ├── decisions/ │ ├── incidents/ │ ├── conventions/ │ └── context/ ├── agents/ └── .cache/

Minimal configuration — a plain object, not defineProject(...). The loader applies defineProject itself, and an import here is a bare specifier the file can only resolve with node_modules present, which breaks the two consumers that run without one: a pnpm dlx-initialized workspace before the package is installed, and the generated CI job's npx run on a clean clone. The JSDoc annotation keeps editor typing without a runtime import:

/** @type {import("@illodev/workfile").ProjectConfigInput} */

export default { schemaVersion: 2, name: "My project", cards: { areas: ["api", "web", "infra", "docs"] }, docs: { sources: [ "README.md", "docs/**/*.md", "apps/*/README.md", ".project/specs/**/*.md" ] }, changelog: { releaseStrategy: "semver", defaultVisibility: "public" }, memory: { collections: [ "learnings", "decisions", "incidents", "conventions", "context" ] }, agents: { targets: ["agents-md", "cursor"] }, ci: { targets: ["github"] }, mcp: { allowMutations: true }, search: { semanticWeight: 0.35, maxProviderRecords: 500 } };

Project-specific areas, paths and vocabularies are resolved at runtime and exposed through the effective schema. The eight Work statuses and the schema-v2 memory collection semantics remain protocol contracts.

Work

Cards are managed Markdown records under .project/cards/. The Work module provides hierarchy, dependencies, claims, scope, status transitions, archives, assets and conflict-aware writes.

workfile card list --json

workfile card show T-0042 --json workfile card create --title "Implement runtime schema" --area infra workfile card create --json-input card.json # body, parent, source and tags in one call workfile card claim T-0042 --scope apps/api,packages/sdk # actor resolves itself workfile card transition T-0042 review workfile card patch T-0042 --json-input changes.json --expected-revision sha256:... workfile card archive T-0042 workfile card reopen T-0042 --status backlog

Docs

Docs combines two sources without copying existing documentation:

  • Indexed documents discovered from configured globs. They receive deterministic PATH-* IDs and remain read-only through the protocol.
  • Managed documents stored in .project/docs/ with stable DOC-NNNN IDs, typed frontmatter and revision-aware mutations.

Managed documents are read recursively, so they can be grouped in folders — including folders you create by hand. IDs stay global and sequential: a folder is organization, not identity. New documents follow docs.layout (kind, the default, groups them by document kind; flat writes them to the managed root) and --folder overrides it.

workfile doc list --query billing

workfile doc show DOC-0012 --json workfile doc create --title "Deployment runbook" --kind runbook --status current workfile doc create --title "Rate limiting" --folder architecture/billing workfile doc move DOC-0012 --folder architecture workfile doc patch DOC-0012 --json-input changes.json --expected-revision sha256:...

The doctor detects broken local links, unresolved related or superseded records, missing scope paths and stale review/source relationships.

History

History uses atomic change fragments rather than asking multiple branches or agents to edit one shared CHANGELOG.md.

Unreleased fragment:

---

id: CHG-0042 title: Add portable history workspace type: added area: infra visibility: public cards: [T-0042] created: 2026-07-28 updated: 2026-07-28


A release consumes selected fragments, moves them beneath the release directory and creates a canonical REL-NNNN record. Public or internal changelogs are derived output.

workfile changelog list --unreleased

workfile changelog add --title "Add portable history" --type added --area infra workfile changelog preview workfile changelog release 0.4.0 --title "History and Memory" workfile changelog render --visibility public workfile changelog render --visibility public --write workfile changelog verify

Release versions can use semver, calendar or freeform validation according to configuration. Fragments and releases participate in the same workfile search and backlink graph as cards, docs and memory.

Memory

Memory is a set of typed, atomic and lifecycle-aware records rather than a single growing conversation transcript:

CollectionPrefixPurpose
LearningsLRNReusable observations with confidence and occurrence signals
DecisionsADRProposed, accepted, rejected or superseded decisions
IncidentsINCOperational events, severity, timing and corrective actions
ConventionsCONVDurable rules followed by humans and agents
ContextCTXUseful but potentially expiring project state
workfile memory list --collection learnings --status active

workfile memory add learning --title "Atomic fragments avoid merge conflicts" \ --confidence high workfile memory add decision --title "Keep Markdown canonical" --status accepted workfile memory add incident --title "Release pipel

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

Pregunta a PopNx