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Glitch Toolkit

de AbstractGlitchversión 0.1.4i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.AbstractGlitch/glitch-toolkit

Instalar

Resumen

Descripción del creador (original en inglés)

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

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

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

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

Ejecuta esto en tu terminal

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

Abrir en Cursor

O copia la configuración tú

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

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

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

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 AbstractGlitch, 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 32683 servidores de esta categoría
  • Publicado en el registro más recientemente que el 41% de los otros 32683 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32683 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 Glitch Toolkit?

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 (0.1.4) 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 Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper

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

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.

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.

Pregunta a PopNx