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

Toolfactory

by GoatInAHatversion 0.4.6i★ –iRuns on your computer
Registry nameio.github.GoatInAHat/toolfactory

Install

Overview

Description from the maker (original English)

Build an agent tool once; ship it as Agent Skills, MCP servers, Agent Plugins / Claude / Codex

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: Other

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": {
    "toolfactory": {
      "command": "npx",
      "args": [
        "-y",
        "toolfactory"
      ]
    }
  }
}

Run this in your terminal

claude mcp add toolfactory -- npx -y toolfactory

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "toolfactory": {
      "command": "npx",
      "args": [
        "-y",
        "toolfactory"
      ]
    }
  }
}

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": {
    "toolfactory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "toolfactory"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account GoatInAHat, 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 Otheri

  • More stars than 0% of the other 32683 servers in this category
  • Published to the registry more recently than 59% of the other 32683 servers in this category
  • Basic checks equal to or better than 100% of the other 32683 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 Toolfactory 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 (0.4.6) reached the registry 27 days 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, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper

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

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated 2 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.

toolfactory

Build an agent tool once; ship it as an Agent Skill, an Agent Plugins bundle, a Claude Code, Codex or Cursor plugin, an MCP server, a CLI, an npm or PyPI package, an MCP Registry entry, an OpenClaw or Hermes native plugin, and a web page, from one operation module and one config file.

toolfactory is a scaffolder and a keeper-in-sync, not a runtime. It writes each surface in the shape that surface's own tooling would have written, proves it with that surface's own validator, and records every generated file in a lock so drift fails CI. Delete toolfactory from a repo it generated and every surface still installs, builds and publishes.

Install

  • Agent Skill — npx skills add GoatInAHat/toolfactory
  • MCP server — npx -y toolfactory mcp
  • Claude Desktop extension — download toolfactory.mcpb from the GitHub Release and double-click to install
  • Claude Code plugin — claude plugin marketplace add GoatInAHat/toolfactory, then claude plugin install toolfactory@toolfactory
  • Codex plugin — codex plugin marketplace add GoatInAHat/toolfactory, then codex plugin add toolfactory@toolfactory
  • Gemini CLI extension — gemini extensions install https://github.com/GoatInAHat/toolfactory
  • OpenClaw plugin — openclaw plugins install --link hosts/openclaw from a checkout
  • Hermes plugin — hermes plugins install https://github.com/GoatInAHat/toolfactory#hosts/hermes/toolfactory_hermes
  • DSH plugin (experimental) — dsh plugin --profile add ./hosts/dsh from a checkout, or the release tarball toolfactory-dsh-0.4.6.tgz
  • Web app — npx -y toolfactory mcp --http --open serves the operations page beside the MCP endpoint on one port and opens it; over MCP or a skill, the web operation does the same and returns the URL.
  • npm package — npm install toolfactory

Quickstart

mkdir hello && cd hello

npx toolfactory init --name hello --binding typescript --surfaces skill,agent-plugins,claude,mcp,cli,npm

init writes plugin.json (identity), dev.toolfactory/tool.json (surfaces, binding, config), the kernel scaffold, the .agents/ agent-config canon (skills, MCP servers, sync.py, setup and the per-harness hook carriers, so the tool is developable in any harness), and the first build. It also does what a human would do next: git init and a first commit, then bash .agents/setup, which renders the harness adapters, installs the git hooks that keep them in sync, and installs the dependencies. Its nextSteps end with the one reload line of the harness it is running inside, because reload is the one part a repository cannot automate.

Add --repo / and it creates that GitHub repository through gh and pushes to it — private unless you pass `--public` — with one topic per selected surface, and prepares the live-tests environment when a .env is there. --dryRun prints the gh invocations instead. None of it is required: with no GitHub, plain git or no git at all, everything below still works.

Instruction-only Codex plugin

Use --runtime none --surfaces skill,codex when a plugin is only SKILL.md instructions for Codex. ToolFactory then emits no MCP server, operation snapshot, language scaffold, or consumer runtime dependency. binding remains required for config compatibility but is unused in this mode. This is available in the published npm package starting with ToolFactory 0.1.1.

  1. Write operations in src/ops.ts (TypeScript) or src/ /ops.py (Python). Each one is a name, a description, an input schema, an optional output schema, an optional requires list, and a handler.
  2. npx toolfactory introspect spawns the kernel MCP server and snapshots tools/list into dev.toolfactory/ops.json.
  3. npx toolfactory build regenerates every selected surface in-tree.
  4. npx toolfactory gate runs what CI runs, here: build, the drift check, every surface's upstream validator, your own checks and tests, and the credential-free host end-to-end.
  5. Commit everything. npx toolfactory package builds the release assets into dist/release/; CI runs the same gate and, on a v* tag, the same package job before publishing.

A TypeScript operation:

operation({

name: "echo", description: "Echo text back.", input: z.object({ text: z.string() }), output: z.object({ text: z.string() }), annotations: { readOnlyHint: true }, handler: async ({ text }) => ({ text }), })

Commands

Every command exists as a CLI subcommand and as an MCP tool (toolfactory mcp), because toolfactory is built with toolfactory.

CommandDoes
initnew tool: identity file (keywords defaults to [name], the Kiro Powers/Agent Plugins activation trigger; --keywords overrides), tool.json, kernel scaffold, first build, git init + first commit, .agents/setup; --repo / creates the GitHub repository (private; --public opts out) and pushes it
introspectsnapshot the kernel's tools/list into ops.json
buildregenerate every selected surface; delete orphans; write the lock
checkfail if the operation snapshot or any generated file drifted from the code (the CI gate)
validate [--surface]run each surface's upstream validator
coveragethe operation × surface verdict matrix
gaterun what CI runs, here: build, drift check, validators, your checks and tests, host e2e — stopping at the first failure
packagebuild every release asset into dist/release/ (npm tarball, distributions, plugin tarball and bundle zip, web build, coverage)
adopt / unadopt / ejecttake a file (or a whole surface) over from toolfactory, or give it back
doctorwhich upstream CLIs this machine can delegate to
secretsevery credential the project needs — its own sensitive config keys and the release registries' tokens — with where to mint each, whether it is present locally and on GitHub, and (--action check) whether the registry accepts it; never a value
bootstrap-repopush .env to GitHub through gh (config keys to the live-tests environment, release tokens to the repository), enable Pages, configure npm trusted publishing once the package exists, and print the one-time steps that are left
unpublishretract every registry a surface dropped since the previous tag published to; the release runs it, --dryRun shows it

Surfaces

Skills first. init selects the minimum that already serves every harness — skill, agent-plugins, mcp, cli and the binding's package registry — because everywhere that takes a plugin also takes a skill plus an MCP server, and a skill is one file with no upstream to track. Every host-specific plugin below is opt-in: add it only when that host needs what a skill and an MCP server cannot give it (a gateway tab, browser capability, a store listing).

SurfaceEmitsValidated by
skillskills/ /SKILL.md (frontmatter + operations block; body is yours), plus .agents/skills/ , a symlink to it, so Copilot, Codex, Hermes, DSH and .agents/sync.py see the same one skillagentskills validate
agent-pluginsroot plugin.json + mcp.json (consumed by OpenClaw, Hermes, Copilot, Cursor, Codex)Ajv against the 1.0.0 schemas
claude.claude-plugin/plugin.jsonclaude plugin validate
codex.codex-plugin/plugin.json + .agents/plugins/marketplace.json (codex plugin marketplace add / )real Codex CLI: marketplace add, plugin add, plugin list
cursor.cursor-plugin/ manifestschema-shaped
geminiroot gemini-extension.json — a Gemini CLI extension installable straight from the repo, reading your AGENTS.md and skills/gemini extensions validate
mcp, clithe kernel MCP server (stdio, or --http) and a CLI over your operations; each lists only the operations it can runMCP Inspector, --help
npm, pypipackage metadata merged into package.json / pyproject.tomlnpm pack, uv build
cargo, nuget, maven-central, rubygems, packagist, go-modulereleases for author-owned native packages alongside the tool; metadata stays in its native formatCargo, .NET, Maven, RubyGems, Composer, Go
homebrew, winget, scoop, chocolatey, apt, rpmnative packaging and catalog/repository distribution on the appropriate OSthe manager's own tooling
mcp-registryserver.jsonmcp-publisher
mcpbhosts/mcpb/manifest.json and a .mcpb release asset packed from the npm tarball — the one-click install Claude Desktop takesmcpb validate
openclaw-nativehosts/openclaw/, mirroring openclaw plugins init --type toolopenclaw plugins build --check, validate, plugin-inspector
hermes-nativehosts/hermes/, a manifest v2 pluginhermes plugins doctor --ci
webweb/, a shadcn/ui (Vite, React, Tailwind) app with a form per operation; your own pages sit beside it in App.tsxvite build, Playwright
browser-extensionhosts/browser/, one WXT extension built for Chromium, Firefox and Safari: the worker calls your kernel over loopback MCP, the popup is the web app, and the operations that need a page are yours to write in entrypoints/wxt build, web-ext lint, Playwright against a real Chromium
vscode-extensionhosts/vscode/, a native TypeScript extension with MCP discovery, command palette operations, settings and SecretStorage; activation and native contributions are yoursMicrosoft generator-code scaffold comparison, vsce package, real Extension Development Host
dsh (experimental)hosts/dsh/, a zero-code DSH (DeepSeek Harness) bundle: one Cordis patch row attaching your MCP server through @deepseek-ai/dsh-mcp-clienta keyless dsh --profile headless boot
workflows (always)ci.yml, release.yml (gate → package → publish legs → GitHub Release, plus Pages), compose.toolfactory.yaml, .env.example, renovate.json; every step is one toolfactory gate / toolfactory package runs without GitHubthe workflow itself
readme (always)the Install section of README.md (a marked region): one install line per selected surface, plus a static Agent Skill badge—

Select vscode-extension together with mcp, cli, and the runtime registry (npm for TypeScript, pypi for Python). Set vscode.publisher in dev.toolfactory/tool.json, then build. Open hosts/vscode and press F5 to use the checkout's runtime, or run npm run vsix in that directory to package it. Native commands, views, webviews, language services, chat participants, and language-model tools use the full VS Code API in your own src/extension.ts. Add contribution points directly to its package.json; rebuilds preserve author entries and additional fields on generated entries. Marketplace and Open VSX release jobs use VSCE_PAT and OVSX_PAT after you register the publisher. Both can be disabled individually in tool.json.

The same native customization rule applies to the other surfaces: JSON, TOML and YAML manifests merge only projected fields, and host entry points retain your code outside the marked regions. OpenClaw, Herm

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

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