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

Glitch Toolkit

by AbstractGlitchversion 0.1.4i★ –iRuns on your computer
Registry nameio.github.AbstractGlitch/glitch-toolkit

Install

Overview

Description from the maker (original English)

Read-only checks that fail a guardrail which is present but has stopped refusing anything

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

  • PyPIPython’s uv installed (for the uvx 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": {
    "glitch-toolkit": {
      "command": "uvx",
      "args": [
        "glitch-toolkit"
      ]
    }
  }
}

Run this in your terminal

claude mcp add glitch-toolkit -- uvx glitch-toolkit

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "glitch-toolkit": {
      "command": "uvx",
      "args": [
        "glitch-toolkit"
      ]
    }
  }
}

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": {
    "glitch-toolkit": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "glitch-toolkit"
      ]
    }
  }
}

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 AbstractGlitch, 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 32712 servers in this category
  • Published to the registry more recently than 41% of the other 32712 servers in this category
  • Basic checks equal to or better than 100% of the other 32712 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 Glitch Toolkit 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 (0.1.4) 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 Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Aiterm MCP

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
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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
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Aiterm MCP

by kitepon

Persistent terminals and one launcher for Claude, Codex, Grok, Cursor, and Antigravity harnesses.

Runs on your computerUpdated today
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.

glitch

A check that has stopped refusing things still passes. That is the failure this looks for.

On 8 September 2026, in the repository this package was extracted from, a test guarded the one chapter of a paid book that is given away free — asserting the sample stops at its cut and does not leak the rest. It was green. It was searching a page that had no book on it, for passages it therefore could never find, and passing. Nothing was broken; the redaction worked fine. The alarm had been disconnected and was still showing a green light.

Every guardrail decays that way eventually, and the decay is silent, because a guardrail that has stopped refusing looks exactly like one with nothing to refuse.

glitch installs six guardrails into your repository and then, whenever you ask, runs each one against a case it is *supposed* to refuse. One that no longer refuses anything fails here, loudly, instead of passing quietly.

pip install glitch-toolkit

glitch install # put the artifacts in this repository glitch status # what is installed, what is not glitch check --all # verify every step

No dependencies, no network calls, no telemetry. It writes nothing outside the directory you point it at.

What it actually checks

A step is not complete because a file is present. Every check does three things and reports which of them failed:

  1. finds the artifact
  2. runs it, and expects it to work
  3. runs it against a deliberately broken case, and expects it to refuse

Without the third, a check passes the moment you copy a file in, whether or not that file has any teeth left, and it would be green for every reader forever. tests/test_cli.py exists to prove the checker fails that case; its SABOTAGE test installs artifacts that run, exit 0 and refuse nothing.

What install will not do

It will not write your CLAUDE.md, FLEET.md, FLOOR.md or PLAN.md. Four of the six steps are checked against your own file, because for those four the file *is* the work: a rules file that holds, a desk table with one committer, a floor measured twice, a plan someone else approved. A command that wrote them would turn the path into "you ran an installer". The FLOOR.md and PLAN.md templates ship deliberately unpassable for the same reason.

It will not overwrite. An artifact already in your repo is left alone and reported as kept; --force is how you say otherwise.

It writes nothing outside the directory you point it at, makes no network calls, and has no dependencies outside the standard library.

Running it without installing it

cli.py is one file and stays one file. Copy it into a repository and status and check work with nothing on the path and no install step — that property is deliberate and there is a test for the search paths it uses. Only install needs the rest of the package, and it says so plainly rather than failing oddly.

The MCP server (read-only)

uvx --from 'glitch-toolkit[mcp]' glitch-mcp --repo .

Install the extra in an isolated environment, not a system Python. The checker has no dependencies and that is a promise. The [mcp] extra is the opposite: mcp>=2.0 pulls pydantic, starlette, cryptography, opentelemetry and a dozen more, and pip will happily UPGRADE what is already there to satisfy them. Done against a global interpreter on 8 September 2026 it replaced pydantic 1.10 with 2.13 and starlette 0.46 with 1.6, breaking an unrelated FastAPI application on the same machine. uvx builds a throwaway environment and touches nothing else, which is why the registry entry launches it that way.

A virtualenv is equally fine:

python -m venv .venv && .venv/bin/pip install 'glitch-toolkit[mcp]'

It offers the checks to an agent as three tools — glitch_status, glitch_check, glitch_ledger_tail — and appends every question and answer to .claude/toolkit/ledger/ledger.jsonl.

It gates nothing. It cannot pause, block, refuse or intercept any action. It has no database connection, no credential and no network call. That is the whole first version, on purpose: a server that stands between an agent and a production database is serious software, and the honest order is to run read-only first, read the ledger, and find out what it *would* have refused before giving it the power to refuse. A gate built before that record exists is a guess with permissions.

The checks write nothing into your repository. The server breaks that in exactly one place — it appends to the ledger — and --no-ledger turns off even that, at the cost of the only thing worth keeping.

In Claude Code, .mcp.json:

{

"mcpServers": { "glitch": { "command": "glitch-mcp", "args": ["--repo", "."] } } }

The ledger

Append-only JSONL. Nothing rewrites a line it did not just write; a record that is overtaken is superseded by a new one and both stay; a field nobody measured is null rather than 0; a half-written last line is skipped and counted, never repaired, because repairing it means rewriting the file.

Tests

python tests/run_all.py      # all three suites, 40 tests

The server suite skips cleanly without the [mcp] extra and the runner reports that as SKIPPED rather than passing, because a green line meaning "we did not look" is the exact failure the gate-check practice exists to catch.

Where the checks come from

Every check here exists because something went wrong, and CORPUS.md is the list — what happened, what it cost, and which check catches it now.

It also names the ones nothing here catches yet, including the two that cost this package a version number each. A corpus that recorded only its solved failures would be doing the thing this package is about.

Licence

Apache License 2.0 — see LICENSE and NOTICE. Chosen over MIT for the patent grant.

Everything in this repository is under it. Use it commercially, change it, redistribute it.

The links above are absolute on purpose: this README is also the package's description on PyPI, where a relative link resolves against pypi.org and returns a 404.

Where this comes from

This repository is a published mirror. The package is developed inside a private monorepo alongside the book *Building Your Store Or Your SaaS With Claude*, whose practices it installs and checks, and it is pushed here as a subtree. The book, the shop that sells it and the rest of that repository are not open source and are not here. Nothing is being withheld from this repository that belongs to the package.

Issues and pull requests belong here rather than there, because here is the part anyone can read.

Status

Version 0.1.1. It installs, and the practices it checks are the six the book argues for. 0.1.0 was the first release; 0.1.1 changes this description and adds continuous integration, and nothing about what the code does.

What it is not yet: it gates nothing. glitch-mcp reports and records and cannot block an agent from doing anything. That is deliberate and the reasoning is in mcp_server.py — a server that stands between an agent and a production database should earn its evidence before it earns the power to refuse.

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