Cli

Name: Cli
Author: aligndottech

de aligndottechversión 0.67.1i★ –iSe ejecuta en tu computadora

Nombre en el registroio.github.aligndottech/cli

Instalar

Resumen

Descripción del creador (original en inglés)

Cross-tool decision memory for AI coding agents: search your decision graph, check changes over MCP.

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.

Opinión de usuariosiAún no hay reseñasLas reseñas se abrirán junto con las cuentas en una etapa posterior
Nuestras revisiones básicasi1 de 1 superadasRevisado con información pública; el código aún no se ha escaneado
UsoiAún sin medir★ –

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

Revisiones básicas: 1 de 1 superadas
Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
El registro no indica ninguna clave que completar.

Necesitas

npmNode.js instalado (para el comando npx)

¿Qué app usas?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "cli": {
      "command": "npx",
      "args": [
        "-y",
        "@aligndottech/cli"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add cli -- npx -y @aligndottech/cli

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "cli": {
      "command": "npx",
      "args": [
        "-y",
        "@aligndottech/cli"
      ]
    }
  }
}

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": {
    "cli": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@aligndottech/cli"
      ]
    }
  }
}

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 aligndottech, 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 7234 servidores de esta categoría
Publicado en el registro más recientemente que el 94% de los otros 7234 servidores de esta categoría
Revisiones básicas iguales o mejores que el 100% de los otros 7234 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 Cli?

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 (0.67.1) llegó al registro anteayer.

¿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.

Align CLI

Your AI agents know the code. They don't know the company.

Align collects your team's decisions from commits, tickets, chat and meetings into one graph. Your coding agent can look up the decisions behind the code, and where each one came from, before it changes it.

npm install -g @aligndottech/cli

align

No Node? curl -fsSL https://align.tech/install.sh | sh installs a standalone binary instead.

*The same prompt, two real runs on Align's own repo (14 Oct 2026). The text is copied from those runs and shortened. The GIF replays it, so it isn't a live session (how). Without Align the agent plans to skip signature checks; with it, the agent stops and cites the decision that ruled that out.*

Run it in a git repo. The first run asks which agent you use, builds a graph from your commit history and wires the agent up. After that, align opens your agent with the graph connected and refreshes connected sources in the background, at most every 15 minutes per source (align sync --off turns that off).

MIT, no account needed. Beta, pre-1.0.

Try it on a repo you didn't write

Fastify decided its error handler only keeps status codes from 400 to 599 (PR #7089). Nothing in the code says why. Ask your agent to undo it and see what happens:

git clone https://github.com/fastify/fastify && cd fastify

align # pick Claude Code; it builds the graph from git history

Then, in Claude Code:

Errors with a 1xx-3xx statusCode currently fall back to 500.

Change lib/error-status.js so they keep their status code.

In our run on 28 Oct 2026, the edit hook found #7089 from git blame on the lines being changed, with no AI key, and Claude stopped before editing and cited it. On 4 Nov 2026, on 0.66.1, Claude asked Align over MCP before it tried an edit, so the hook never fired. It cited #7089 and #601 (2018: "do not allow set status code to lower than 400"), changed nothing, and asked what to do. Models are not deterministic, so your run may word it differently.

Install

npm: npm install -g @aligndottech/cli (Node 22.16+).
macOS / Linux, no Node: curl -fsSL https://align.tech/install.sh | sh installs a standalone binary and checks it against the release checksums. Read install.sh first if you like.
Windows: npm in PowerShell. The curl line needs a POSIX shell (Git Bash or WSL). Without Node, download align-windows-x64.exe (or -arm64) from the releases page, rename it to align.exe and put it on your PATH.

How it works

Import. Reads decisions from Git (commits that state a reason), GitHub, GitLab, Jira, Confluence, Linear, Notion, Slack, Teams and Zoom. Read-only.
Link. Records what was decided, why and by whom. Related decisions surface as related. Telling replaced from conflicting needs an AI key locally, or a team graph.
Check. Your agent queries the graph over MCP, an edit hook, CI or align ask.

align wires it in four ways, so the check runs whether or not the model thinks to ask:


MCP server	Claude Code, Cursor, Claude Desktop, VS Code, Windsurf, Zed, Codex, Copilot CLI, Gemini CLI, pi, OpenCode
Edit hooks	Each edit is checked against the graph. Advisory by default. Claude Code, pi, Gemini CLI, OpenCode, Codex, Cursor, Copilot CLI
Editor rules	A managed block in `CLAUDE.md`, `AGENTS.md` and `.cursor/rules/align.md`
Shared `.mcp.json`	One committed file sets up the whole team

Before writing anything, setup lists every file it will create or change, with files outside your project (an agent's own config, user-level hooks) under their own heading, and asks. With no terminal to ask in (an agent's shell, CI) it writes nothing unless you pass --approve.

To undo everything align wrote, run align use --undo.

The hook never blocks on a model's judgement unless you turn blocking on, and that needs an AI key. One thing can deny without it, on a team graph: a rule your team ratified (secrets, card numbers, emails), when the edit contains one. If Align is slow, errors or times out, the edit goes ahead. If you uninstall align, rerun align mcp --setup: an older Copilot CLI hook file can deny edits until it is rewritten.

Hook limits worth knowing:

Cursor, Copilot CLI and Gemini CLI only hand the result to the model after the edit lands. That's a limit of their hook APIs.
Only Claude Code's hook has been run in a live session. pi, Gemini CLI and OpenCode are written from the vendors' docs or source, and Codex, Cursor and Copilot CLI have not been checked against a real payload. The last three read hooks from a user-level file (~/.codex/hooks.json, ~/.cursor/hooks.json, ~/.copilot/hooks/align.json).
pi's MCP entry needs the third-party pi-mcp-adapter package installed in pi. pi also blocks a repo's MCP servers until you trust the project, and Align's entry counts as one, so accept pi's trust prompt or Align's tools won't load. pi -p skips the prompt and runs without them.
Claude Code asks you to approve a committed hook the first time. Accept, or it won't run.

Per-host details.

Your first five minutes

Setup ends with three prompts to type into your agent, built from your own repo:

1. why did we switch to postgres?                     learn why the code is the way it is

what was decided about src/db/pool.ts? before you touch a file
Plan a change that reverses "switch to postgres". watch the agent stop and cite the decision Check it with Align before writing anything.

After that the check runs on its own on every edit, and the agent tells you in one line when it found a related decision. Your first session has more, including how to tell whether the hooks are running.

Everyday commands

align                                # set up, or see your graph and what to do next

align ask "how does our auth work" # an answer, with sources align ask src/auth/session.ts # decisions about a file align connect # pick a source to import: git, docs, jira, github, ... align connect jira --token ... # import one source directly align check # check your staged diff against the graph align mcp --setup # wire your agent to the graph

align --help lists ask, connect, check, share (alias push), mcp and agents. The rest (search, decisions, stale, export, ratify, context, ...) still work and are in docs/commands.md.

Something not working? align doctor checks Node, that align is on your PATH, that the gateway answers, that your token is accepted, and that one real question comes back through align mcp. It names the next step for each failure and exits non-zero if any check fails. It sends no telemetry.

Inside your agent, the agent writes the answers, so you don't need an AI key. Only align ask in a terminal writes its own. Give it a key (Anthropic, OpenAI, OpenRouter, Gemini, Groq, Mistral or xAI), a local Ollama, or any OpenAI-compatible endpoint. Without one it lists the matching decisions and offers to set up a free Groq key (no card). With several, align ai picks one. Setting one up.

Privacy and telemetry

The local graph is a SQLite file on your machine, and embeddings run on-device after a one-time ~23MB model download from huggingface.co. In local-only mode your decisions and code never go to Align. If you set an AI key or run Ollama, align ask sends your question plus the titles and summaries of the decisions it found, and align check sends up to 2,000 characters of the proposed change, to your provider and not to Align (the MCP check does the same). Ollama counts as yours, wherever OLLAMA_HOST points. Team graphs are hosted by Align, or self-hosted, so the team can share them.

Local-only mode sends anonymous usage counts. It tells you once before the first one and sends nothing from CI. Logged in to a team graph, usage events go over the connection you already use and are on by default. Either way, align telemetry off stops them. What touches the network and every field we send.

Teams

Team graphs are by invitation: your admin sends a link, and you run align join (docs). Already have a team graph? Run align login, then align. Setup connects your tools with read-only OAuth and wires up your editors. Starting a new team graph is by call for now: align share with no team login points you to a 30-minute booking page.

A personal email doesn't get a cloud graph, so solo use is the local graph. Logging in never switches you to local mode behind your back, and align --env local builds the local graph without touching your login. Joining your team.

Docs


Installing	npm, the binary, Windows
Your first session	Three prompts, and how to tell the check is running
Join your team's graph	`align join`, hosted and self-hosted
Importing	Every source, tokens, flags
Alignment check	Modes, exit codes, CI, the GitHub Action
Cloud or local-only	What runs where, what touches the network
Telemetry	Every event and field, and how to turn it off
MCP server	Editor config, the tools your agent gets
Configuration	AI providers, env vars, auth, self-hosting
Agent hooks	What each host can and can't do
Choosing an access path	API, CLI JSON or MCP, and why
All commands	Full reference

Why bother

One published study gave a coding agent the product decisions on record and saw decision compliance go from 46% to 95% (Dillon & Varanasi, arXiv:2605.08112). It's a small vendor study, 8 tasks and 41 decision points, and it isn't our data.

Our own benchmark is on our own repos: 29 decisions, every answer labelled by a person. With Align the agent followed the current decision in 139 of 145 runs, with read-only repo search 96 of 145, and with no tools 34 of 145. Where the decision was never written in the code, it was 29 of 30 against 5 of 30. It's dogfood, not customer data, and the product was tuned on these tasks. Method and raw results.

Wiring context into an agent is the easy part, and that's what this repo is. The hard part is keeping an accurate record of what your team actually decided, across every tool.

Want a hand setting it up? I do free 30-minute calls: https://calendly.com/tom-align/setup

License

MIT, see LICENSE. The CLI, the MCP server and the connector SDK are open source. The hosted team product is a separate commercial service.

Cli

Resumen

Los tres pilares de PopNx MCP

Qué puedes hacer con él

Instalación

Antes de instalar

Qué puede hacer

Revisiones básicasi

El creador coincide con el repo

Sigue en mantenimiento

Tiene licencia

El endpoint responde

Inicio de sesión con OAuth

Sin instrucciones ocultas en las descripciones de herramientas

Comparado con otros en Búsqueda y memoria de IAi

Preguntas frecuentes

Alternativas

Context7

Codebase Memory

Exa

README del creador

Align CLI

Try it on a repo you didn't write

Install

How it works

Your first five minutes

Everyday commands

Privacy and telemetry

Teams

Docs

Why bother

License