MCP connector

Connect Atlas to your AI assistant

One stable address gives ChatGPT, Claude, Claude Code, or Copilot read-only access to your organization's governed definitions of record — the meaning your team already agreed on. It never writes, never touches warehouse data, and only ever sees what you can.

Stable public URL Read-only Deep research ready OAuth 2.1 · PKCE

No subdomain to look up — you pick your organization while you connect.

https://atlas.rehearsal.datacov.es/mcp

Set up your client See what it exposes

Governed meaning, not another integration

Atlas publishes your Knowledge Base as a read-only MCP server. Your assistant pulls the agreed definition when it needs it — Atlas enforces nothing on your tools.

Pull, not control

An analyst may ground on the governed definition, or ignore the connector entirely. Atlas makes the single source of truth available and access-controlled — it governs meaning, never action.

Scoped to your reach

Every read is checked against your own permissions. A page you cannot read simply looks not-found — with no hint that it exists.

Bound to one org

The token you approve is bound to the organization you picked, so it can never reach another organization's knowledge — on any address.

What happens when you connect

Four steps, all at the Atlas front door.

1
Add the URL

Your client registers itself

Paste the Atlas address into your assistant. It discovers the Atlas authorization server and registers itself automatically (dynamic client registration) — there is no client id or secret for you to copy anywhere.
2
Prove your email

Sign in at the Atlas front door

Atlas asks you to prove control of your work email — your company's single sign-on, or a one-time code. Passwordless, always: Atlas stores no passwords.
3
Pick your org

Choose which organization to connect

If your email reaches more than one Atlas organization, you pick one here. This is why there is no subdomain to look up — the address is the same for everybody, and the choice happens at consent time.
4
Approve read access

Approve read-only knowledge access

You see exactly one scope — knowledge:read — and approve it. The token is bound to the organization you picked, refreshes silently, and you can revoke it from Atlas at any time.

Set up your client

Same address everywhere. Pick your assistant.

Custom connector · Business, Enterprise, or Edu workspace

1 Open Settings → Connectors → Create custom connector.
2 Paste the Atlas address as the MCP server URL and choose OAuth authentication.
3 Save, then press Connect — Atlas walks you through the four steps above.
4 Atlas now appears as a source you can pick per conversation, or in deep research.

MCP server URL

{@active_client.code}

Make Atlas the source of truth

The connector is pull, not control — it cannot force a client to ground on it. Paste this rule into your client's own instructions so it always checks Atlas first.

Atlas is our organization's governed source of truth for data definitions, metrics, and reference docs. Before answering any data or analytics question, search Atlas (search_knowledge / get_page) and ground your answer in what you find. Prefer Atlas definitions over assumptions, and say so when Atlas has no answer.

What it exposes

All read-only. Every tool, what it takes, and exactly what it returns. Two of them — search and fetch — are ChatGPT's deep-research compatibility pair: thin aliases over the same read API, so the tools they mirror keep their names and shapes.

list_workspaces Read-only

List the workspaces you can reach.

Input

No arguments.

Returns

Every workspace you can reach, each as id · name. A workspace outside your reach never appears — it is the starting point for narrowing any later call.
list_areas Read-only

List the areas inside a workspace, to narrow a search.

Input

workspace (required) — an id or name from list_workspaces.

Returns

The workspace's areas, each as id · name — the ids you pass as the optional area ceiling on a search.
get_page_tree Read-only

Show a workspace's knowledge base as an indented map of its pages.

Input

workspace (required) — an id or name from list_workspaces.

Returns

An indented map of the workspace's knowledge base by hierarchy. A page you may not read appears as a title-only node.
search_knowledge Read-only

Semantic search across governed definitions, reference docs, and notes.

Input

query and workspace (both required); optional area ceiling, type, and limit.

Returns

The pages you may read, most relevant first, each citing its title, type and current version. Reach- and confidentiality-filtered before it ranks.
get_page Read-only

Fetch the full body of a single page by id or slug.

Input

id, or slug plus workspace.

Returns

The page's current version — its full markdown body, cited by title, type and version. A page that is missing and one you may not read return the identical not-found result.
list_related Read-only

Find pages related to a piece of text, or to an existing page.

Input

text, or page — one of the two.

Returns

Readable pages related to that text or page, most related first — the prior art around a definition.
list_links Read-only

List a page's graph neighbours — its backlinks and outlinks.

Input

page (required) — the page id.

Returns

The pages this page links to and the pages that link to it — only the neighbours you may read.
get_history Read-only

Show a page's version history, with a diff of the two most recent versions.

Input

page (required) — the page id.

Returns

Each version's number and timestamp, plus a line diff of the two most recent — how a definition of record evolved.
search Read-only

ChatGPT deep-research compatibility: search every knowledge base you can reach.

Input

query (required) — one search string, and nothing else.

Returns

The matching pages you may read, most relevant first, each with its id, title and — where the request could resolve one — an absolute URL so an answer can cite it. Deep research and company knowledge only ever call search and fetch, which is why this pair mirrors search_knowledge and get_page.
fetch Read-only

ChatGPT deep-research compatibility: read one page by the id a search returned.

Input

id (required) — a page id from a search result.

Returns

That page's full text, with its title and type, and — where known — an absolute URL and its current version. A page that is missing and one you may not read return the identical error.

Want the longer reference? Read the MCP documentation

Security & data flow

The factual disclosure, in plain terms — the same one our Privacy Policy restates.

What crosses the wire

Your question, as the assistant's search text.
Governed Knowledge Base content you can already read — definitions of record, reference docs, notes.
Page titles, ids, areas, version history, and the links between pages.
An OAuth access token bound to the one organization you approved.

What never leaves Atlas

Warehouse data. The outlet cannot run a query or reach a table — ever.
Secrets. Passwords, keys, and connection configuration never leave Atlas.
Anything outside your reach. A page you cannot read looks not-found, with no hint it exists.
Writes of any kind. No create, edit, promote, or delete — the outlet is read-only.
Another organization's knowledge. The token's binding makes it unreachable.

Connector facts

The listing details a directory reviewer asks for.

Listing name: Atlas
Publisher: Datacoves
One-liner: Search and read your organization's governed data definitions — read-only.
Authentication: OAuth 2.1 + PKCE, dynamic client registration, refresh and revocation.
Scope requested: knowledge:read
Support: support@datacoves.com, or the contact form.
Availability: Worldwide, except where prohibited by applicable export-control or sanctions law.
Data retention: No assistant conversation content is stored by the connector.

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