Do agents see content the connected user cannot?

No. The tools call Confluence as the connected account, so pages and spaces outside that account’s permissions are not returned. Tool selection adds a second limit: a tool you do not expose cannot be called at all.

How many tools does the Confluence MCP Server include?

191 tools spanning pages, blog posts, custom content, comments, spaces, permissions, attachments, labels, content properties and tasks. The complete list with parameters and side effects is in your DataGrout workspace.

Can an agent read page history and hierarchy?

Yes. Ancestors, descendants, child items and versions are all retrievable, so an agent can understand where a page sits and how it changed before it edits anything.

What does Warden add for a wiki?

Wikis are user-generated content, which makes them a natural place to hide instructions aimed at an agent. Warden screens calls for injected intent and unsafe data access before execution, in Log only, Advisory or Enforce mode.

Native MCP Server

Confluence MCP Server

Give your AI agents native, governed access to your Confluence wiki. 191 purpose-built tools span pages, blog posts, comments, spaces, permissions, attachments, labels and tasks — under one policy layer.

Get started free

No code. One Hub endpoint for every agent.

Native Confluence tools: 191
Plus optional mTLS: OAuth2
Policy-controlled: Read + Write
Preflight on every call: Warden

What is the DataGrout Confluence MCP Server?

The DataGrout Confluence MCP Server is a native Model Context Protocol server that exposes Confluence content and administration as callable tools for AI agents. Agents can create and update pages and blog posts, follow version history and page hierarchies, work with comments, attachments and labels, check space permissions and update tasks — all through one governed endpoint that enforces side-effect policy and runs Warden preflight on every call.

191 tools across content, comments, spaces and permissions

Read and write allowed, scoped by your policy

Version history and page hierarchy preserved, not flattened

191 Confluence tools, grouped by the work they do

Confluence is where institutional knowledge lives, which makes both accuracy and permissions critical. The tools are grouped below the way an editor thinks about the space; the exhaustive inventory is in your signed-in workspace.

Pages and blog posts

Create and update the content itself, including the lighter-weight formats teams use day to day.

Create pages and blog posts
Update existing pages in place
Custom content and folders
Smart Links between related pages

Hierarchy and versions

An agent that cannot see structure will write over it. These tools keep the tree and the history intact.

Page details and current version
Ancestors, descendants and child items
Version history for change reviews
Content retrieval by page ID

Comments and engagement

Review threads are where a draft gets decided — agents can read them and respond in context.

Create inline and footer comments
Retrieve and update existing comments
Like counts and engagement signals
Account IDs for attribution

Spaces and permissions

Governance work that used to be a support ticket: check who can see what before an agent writes.

List spaces and their permissions
Role assignments per space
Site access checks by email
Access verification before content creation

Attachments, labels and properties

The metadata that makes content findable — and the files that often hold the real evidence.

List and manage attachments
Labels for curation and search
Content properties for structured data
Property updates by page and property ID

Tasks

Action items embedded in docs are a to-do list agents can actually close the loop on.

Retrieve tasks assigned across content
Update task status
Task detail by task ID
Link task completion back to its page

Connect Confluence in four steps

Everything happens in the DataGrout Hub — no code, no per-agent configuration.

1
Open your Hub Server
In DataGrout, open the Hub Server that will carry your integrations and click Add Integration.
2
Find Confluence
Search for Confluence, then select the native MCP Server integration.
3
Authorize
Sign in with Atlassian using DataGrout-managed credentials or your own app credentials. mTLS is optional.
4
Select tools and set policy
Expose the content and space tools the agent needs, then set side-effect and Warden policy.

Authentication

OAuth2
Sign in with your Atlassian account. Use DataGrout-managed credentials or bring your own Atlassian app credentials.
mTLS (Mutual TLS)
Optional transport-level client identity, used alone or alongside the OAuth2 connection.

What agents get back

Content comes back in a shape a model can quote and cite, with the identifiers needed to write back safely.

Page and space payloads with stable IDs
Ancestor and descendant trees in one response
Optional estimate-only calls returning credit cost
Receipt and execution summary per call

Governance on every Confluence call

The server ships with the same layered policy engine as every DataGrout integration. Security teams set the posture once; every agent inherits it.

Side-effect controls

Read and write are available. Side effects are governed by your policy, set per integration and inherited from the Hub Server above it.

PII and destructive access

PII access and destructive operations are separate policy switches, so you decide what an agent may reach — useful when a wiki contains HR or customer detail an agent should not summarize.

Warden preflight

Warden inspects every Confluence call before execution in Off, Log only, Advisory or Enforce mode, so a poisoned page cannot talk an agent into an unsafe write.

Policy inheritance

Integration policy inherits from the Hub Server and can only get stricter. That includes Warden posture, so a child integration cannot weaken the server.

Observability built in

Every execution can return a receipt, a pre-run credit estimate, a Cognitive Trust Certificate and a full execution summary — so an agent's work on your Confluence data is always explainable.

Receipt per execution

Credit cost estimate

Trust certificate (CTC)

Execution summary

How Warden works →Hub policy inheritance →The MCP Gateway →

What teams run on it

Four patterns that show up again and again once a Confluence connection is in place.

Documentation drift audits

An agent walks a space’s page tree, compares last-modified dates against the systems each page documents, and files a list of pages that no longer match reality.

Answers with citations

Ask a question, get the answer plus the exact Confluence pages it came from — with ancestors retrieved so the surrounding context is never lost.

Release notes and postmortems

The agent drafts a page from the tickets and threads that fed a release, then updates it as review comments arrive.

Access reviews

Before quarter end, an agent lists spaces, their permissions and role assignments, and produces a review sheet of who can see what.