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PopNx MCPMCP servers for people who use AI · explained in plain words

Workfile

by illodevversion 0.13.2i★ –iRuns on your computer
Registry nameio.github.illodev/workfile

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account illodev, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7233 servers in this category
  • Published to the registry more recently than 42% of the other 7233 servers in this category
  • Basic checks equal to or better than 100% of the other 7233 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Workfile safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.13.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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