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

Cli

by aligndottechversion 0.67.1i★ –iRuns on your computer
Registry nameio.github.aligndottech/cli

Install

Overview

Description from the maker (original English)

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

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

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

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

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

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 aligndottech, 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 7247 servers in this category
  • Published to the registry more recently than 94% of the other 7247 servers in this category
  • Basic checks equal to or better than 100% of the other 7247 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 Cli 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 (0.67.1) reached the registry 2 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 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 today
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 last month
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.

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.

More in docs/installation.md.

How it works

  1. Import. Reads decisions from Git (commits that state a reason), GitHub, GitLab, Jira, Confluence, Linear, Notion, Slack, Teams and Zoom. Read-only.
  2. 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.
  3. 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 serverClaude Code, Cursor, Claude Desktop, VS Code, Windsurf, Zed, Codex, Copilot CLI, Gemini CLI, pi, OpenCode
Edit hooksEach edit is checked against the graph. Advisory by default. Claude Code, pi, Gemini CLI, OpenCode, Codex, Cursor, Copilot CLI
Editor rulesA 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
  1. what was decided about src/db/pool.ts? before you touch a file
  2. 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

Installingnpm, the binary, Windows
Your first sessionThree prompts, and how to tell the check is running
Join your team's graphalign join, hosted and self-hosted
ImportingEvery source, tokens, flags
Alignment checkModes, exit codes, CI, the GitHub Action
Cloud or local-onlyWhat runs where, what touches the network
TelemetryEvery event and field, and how to turn it off
MCP serverEditor config, the tools your agent gets
ConfigurationAI providers, env vars, auth, self-hosting
Agent hooksWhat each host can and can't do
Choosing an access pathAPI, CLI JSON or MCP, and why
All commandsFull 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.

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