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Atlas

by AtlasDevHQversion 0.0.2i★ –iRuns on your computer
Registry nameio.github.AtlasDevHQ/atlas

Install

Overview

Description from the maker (original English)

Atlas is a YAML-defined semantic layer for analytics — authored by humans, consumed by AI agents.

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: Marketing & social media
  • You need to fill in: ATLAS_DATASOURCE_URL

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: ATLAS_DATASOURCE_URL, ATLAS_PROVIDER, ATLAS_API_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "atlas": {
      "command": "npx",
      "args": [
        "-y",
        "@useatlas/mcp"
      ],
      "env": {
        "ATLAS_DATASOURCE_URL": "your-value",
        "ATLAS_PROVIDER": "your-value",
        "ATLAS_API_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add atlas --env ATLAS_DATASOURCE_URL=your-value --env ATLAS_PROVIDER=your-value --env ATLAS_API_URL=your-value -- npx -y @useatlas/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": {
    "atlas": {
      "command": "npx",
      "args": [
        "-y",
        "@useatlas/mcp"
      ],
      "env": {
        "ATLAS_DATASOURCE_URL": "your-value",
        "ATLAS_PROVIDER": "your-value",
        "ATLAS_API_URL": "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": {
    "atlas": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@useatlas/mcp"
      ],
      "env": {
        "ATLAS_DATASOURCE_URL": "your-value",
        "ATLAS_PROVIDER": "your-value",
        "ATLAS_API_URL": "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

  • ATLAS_DATASOURCE_URL secret env
    Analytics datasource URL (postgres, mysql, clickhouse, snowflake, duckdb, bigquery, salesforce). Optional — falls back to a bundled NovaMart SQLite demo when unset.
  • ATLAS_PROVIDER env
    LLM provider: anthropic, openai, bedrock, ollama, openai-compatible, gateway. Optional — the MCP server does not call an LLM directly (the client does); set this only if you also run Atlas's chat or…
  • ATLAS_API_URL env
    URL of a running Atlas API. Optional — defaults to http://localhost:3001. When set, the MCP server inherits the API's connections, semantic layer, and governance.

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 AtlasDevHQ, 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 Marketing & social mediai

  • More stars than 0% of the other 2985 servers in this category
  • Published to the registry more recently than 8% of the other 2985 servers in this category
  • Basic checks equal to or better than 100% of the other 2985 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 Atlas 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?

You need to fill in: ATLAS_DATASOURCE_URL

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 (0.0.2) reached the registry 6 months 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: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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

An MCP server retrieving transcripts of YouTube videos

Runs on your computer★ 495MITUpdated 10 days ago
Install

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

Runs on your computer★ 244MITUpdated 10 days ago
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.

Atlas

Atlas is the company facts your AI agents can trust: every one carries its source, its date, and the name of the person who approved it. Open source, runs in your VPC.

The hosted service is shut down. I ran Atlas as a hosted service at useatlas.dev until September 2026 and have now turned it off, along with the hosted demo and docs.useatlas.dev. Atlas continues as open source: everything below runs on your own machine or in your own VPC. The docs live in apps/docs/content.

Point Claude Desktop, Cursor or Continue at a local Atlas with one command. With no datasource configured it uses the bundled NovaMart demo data:

bunx @useatlas/mcp init --local --write

Restart the client and ask it a question about NovaMart's orders. (Claude Code, VS Code and other clients: the same command with --client generic prints a block to paste. On WSL2, write bun x instead of bunx.)

How it works

Three kinds of thing live in the Atlas, and every answer says which it is drawing on:

  1. Surveyed — read straight from your company's own data through a semantic layer you author. True by construction: the query re-reads live rows, nobody interpreted anything, and it cannot go stale between readings. SELECT-only, single statement, table-whitelisted, validated seven ways before it runs.
  2. Attested — extracted from something someone wrote, then approved by a named person in your company. That person is on the record, and the fact carries its source and its date.
  3. On the record — the raw source material itself, unedited. Trustworthy as testimony, not as fact.

Surveyed outranks Attested wherever they overlap, so a recollection never overwrites the data. Nothing becomes Attested without a person approving it, and there is no setting that turns that off. Contradictions are shown with both claims and both sources; Atlas does not pick a winner. Where nobody has surveyed, the coverage page says so instead of guessing.

Run it

  • Self-hosted — the complete Atlas under AGPL, in your VPC, free; Docker, Railway or Vercel. Self-host quick start.
  • From your AI agent — bunx @useatlas/mcp init --local against a local Atlas, or bunx @useatlas/mcp init --hosted --api-url against a self-hosted one with managed auth. MCP guide.

Where everything else went

This README used to inventory the whole product. Each section now lives on one docs page, in the docs source:

  • The four context surfaces (semantic layer, Knowledge Base, learned patterns, the Company Atlas) and where answers show up — Introduction
  • The YAML semantic layer and a worked orders.yml — Semantic layer
  • The NovaMart dataset and the canonical questions — Demo datasets
  • The local scaffold (bun create atlas-agent) — Self-host quick start
  • The embeddable widget and React component — Embedding widget
  • How Atlas compares to Genie, Cortex Analyst, Hyper, Glean and the text-to-SQL peers — Comparisons
  • Deploy buttons, starters and Docker Compose — Deploy
  • The SQL validation pipeline and sandbox threat model — SQL validation, Sandbox architecture
  • Environment variables — Reference and .env.example
  • Plugins, datasources, chat platforms and connectors — Plugin authoring, Integrations
  • Supported databases and LLM providers — Connect your data, Model routing
  • The Knowledge Base, dashboards, and bringing your own frontend — Knowledge Base, Dashboards, Frameworks
  • The CLI (atlas init, atlas diff, and the rest) — CLI reference
  • The monorepo layout and dev setup — CONTRIBUTING.md
  • What is open source and what is commercial — Enterprise boundary

Acknowledgments

Atlas was inspired by Abhi Sivasailam's work on Vercel's internal data agent d0 and the open-source vercel-labs/oss-data-analyst template. The core insight — invest in a rich semantic layer, trust the model, and keep the tool surface minimal — came from that work.

License

The server and core packages are AGPL-3.0: if you modify the server and serve it to users, you share those modifications. The client libraries (@useatlas/sdk, @useatlas/react, @useatlas/types, @useatlas/plugin-sdk, @useatlas/mcp) and all plugins are MIT. The ee/ directory is source-available under a commercial license; nothing that makes the Atlas work is behind it — only governance, convenience and scale. Full inventory: Enterprise boundary.

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