Altronis MCP

Name: Altronis MCP
Author: sypherin

by sypherinversion 0.2.1i★ –iRuns on your computer

Registry nameio.github.sypherin/altronis-mcp

Install

Overview

Description from the maker (original English)

Ask the Altronis AI consultant, estimate AI cost (cloud vs own box), SG AI events, news. Read-only.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 65/wk · ★ –

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).
You fill in yourself: ALTRONIS_BASE_URL, ALTRONIS_TIMEOUT_MS

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "altronis": {
      "command": "npx",
      "args": [
        "-y",
        "@altronis/altronis-mcp"
      ],
      "env": {
        "ALTRONIS_BASE_URL": "your-value",
        "ALTRONIS_TIMEOUT_MS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add altronis --env ALTRONIS_BASE_URL=your-value --env ALTRONIS_TIMEOUT_MS=your-value -- npx -y @altronis/altronis-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "altronis": {
      "command": "npx",
      "args": [
        "-y",
        "@altronis/altronis-mcp"
      ],
      "env": {
        "ALTRONIS_BASE_URL": "your-value",
        "ALTRONIS_TIMEOUT_MS": "your-value"
      }
    }
  }
}

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": {
    "altronis": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@altronis/altronis-mcp"
      ],
      "env": {
        "ALTRONIS_BASE_URL": "your-value",
        "ALTRONIS_TIMEOUT_MS": "your-value"
      }
    }
  }
}

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.

Values you fill in

ALTRONIS_BASE_URL env
Base URL of the Altronis site (default: https://altronis.sg)
ALTRONIS_TIMEOUT_MS env
HTTP timeout in milliseconds (default: 30000)

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account sypherin, 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 5687 servers in this category
Published to the registry more recently than 73% of the other 5687 servers in this category
Basic checks equal to or better than 100% of the other 5687 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 Altronis MCP 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 (0.2.1) reached the registry 14 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

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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.

@altronis/altronis-mcp

MCP server and CLI for Altronis, the Singapore AI consultancy. It gives an AI agent (or you, from a shell) a set of read-only tools over the public altronis.sg endpoints: ask the Lyra consultant, estimate what AI would cost a team (cloud vs owning the hardware vs hybrid, in SGD), and pull Singapore AI events, news, and business-formation data.

One codebase, two entry points:

altronis-mcp: a stdio MCP server for Claude Desktop, Claude Code, Cursor, and any MCP client.
altronis: the same tools as a command-line tool.

Read-only by design: no tool mutates anything or captures leads.

Install

npm install -g @altronis/altronis-mcp

or run without installing:

npx @altronis/altronis-mcp --help

Use as an MCP server

Add it to your MCP client config. For Claude Desktop (claude_desktop_config.json):

"mcpServers": { "altronis": { "command": "npx", "args": ["-y", "@altronis/altronis-mcp"] } } }

For Claude Code:

claude mcp add altronis -- npx -y @altronis/altronis-mcp

Then ask your agent things like *"use altronis to estimate what AI would cost a 35-person law firm, cloud vs its own server"* or *"what AI events are on in Singapore this month?"*.

Use as a CLI

altronis ask "does an on-prem LLM satisfy PDPA?"

altronis cost --preset law-firm altronis cost '{"power":5,"medium":20,"light":15,"horizon":36}' altronis presets altronis events 5 altronis news 5 altronis ecosystem altronis services altronis tool altronis_ask '{"question":"..."}' # call any tool by name altronis list # list all tools

Output is JSON on stdout; logs go to stderr.

Tools

Tool	What it does
`altronis_ask`	Ask Agent Lyra, the Altronis consultant, an AI/strategy/governance/grants question.
`altronis_sg_ai_events`	Upcoming AI events in Singapore, refreshed daily.
`altronis_sg_ai_news`	Latest Singapore-relevant AI news.
`altronis_sg_ecosystem`	Singapore business-formation + industry-mix snapshot (SingStat).
`altronis_services`	Altronis's six service pillars, engagement model, grants, and contact.
`altronis_ai_cost_estimate`	What AI would cost a team: cloud-only vs owning a private box vs hybrid, breakeven month, SGD. Same engine as altronis.sg/tools/tco.
`altronis_ai_cost_presets`	~50 industry presets (default user mix) to feed the cost estimate.

Configuration

Env var	Default	Purpose
`ALTRONIS_BASE_URL`	`https://altronis.sg`	Point at a different origin (e.g. staging or self-hosted).
`ALTRONIS_TIMEOUT_MS`	`30000`	Per-request timeout.

Develop

npm install

npm run build # tsc -> dist/ npm test # unit tests (mocked fetch) npm run smoke # live integration test against altronis.sg npm run drift # static facts + /mcp tool list still match the live site npm run dev # run the MCP server from source (tsx) npm run cli -- ask "..." # run the CLI from source

Altronis MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

@altronis/altronis-mcp

Install

or run without installing:

Use as an MCP server

Use as a CLI

Tools

Configuration

Develop

License