# Confluence MCP

> Confluence MCP connects your AI agent directly to your company wiki. Search technical docs, review HR policies, and draft new product requirements—all without leaving your chat window. This tool lets you read existing pages, search across spaces, or create and publish formatted content instantly.

## Overview
- **Category:** industry-titans
- **Price:** Free
- **Tags:** wiki, documentation, content-creation, search-indexing, team-collaboration

## Description

Need answers from your organization's knowledge base? Confluence MCP connects your AI agent to your Atlassian Confluence workspace. Instead of opening ten tabs to check policies or find meeting notes, you just ask your AI client. It searches the entire wiki for what you need, pulling out specific technical guidelines or HR rules instantly. You can read full articles and summaries right in the chat. Need to update documentation? Draft a new page—like a PRD or project summary—and publish it directly into Confluence with one command. This level of direct integration means your team stays in conversation while getting their work done. Vinkius makes sure that connecting this MCP is simple, letting you use your agent across thousands of other services.

## Tools

### add_label
Adds descriptive labels to an existing Confluence page for better organization.

### delete_page
Permanently removes a specified Confluence page. This action cannot be undone.

### get_page_history
Retrieves a full record of changes, showing who modified the page and when.

### list_labels
Shows all existing labels attached to a specific Confluence page.

### add_page_comment
Adds a new formatted comment directly onto a specified Confluence page for feedback or notes.

### search_confluence
Runs complex queries across the entire wiki to find matching pages, blog posts, and comments using specific filters.

### create_page
Generates a brand new page in a chosen space, requiring you to provide the title and body content.

### get_page
Fetches all detailed information about one specific page, including its full text and metadata.

### get_space_details
Retrieves high-level data about an entire space, like its description or homepage link.

### list_page_comments
Gathers all comments—both inline and footer—from a single Confluence page.

### list_pages
Retrieves an ordered list of pages from the wiki, allowing you to filter by space key.

### list_spaces
Provides a complete directory listing of every main workspace or 'space' available in your Confluence instance.

## Prompt Examples

**Prompt:** 
```
Search Confluence for documentation regarding our 'Q3 Migration Plan'.
```

**Response:** 
```
I've searched your Confluence spaces. I found two documents related to the 'Q3 Migration Plan'. The most recent one was updated two days ago in the Engineering space. Would you like a summary of its contents?
```

**Prompt:** 
```
Create a new page in the 'Product' space summarizing our meeting notes from today.
```

**Response:** 
```
The meeting summary has been formatted and published successfully to the 'Product' space under the title 'Meeting Notes - Today'.
```

**Prompt:** 
```
List all wiki pages currently under the space key 'HR'.
```

**Response:** 
```
I found 14 active pages in the 'HR' space, including 'Employee Onboarding', 'Leave Policies', and 'Corporate Benefits'. Which one would you like to review?
```

## Capabilities

### Search knowledge base content
You can search for specific topics or documents across all your Confluence spaces using specialized query language.

### Retrieve page details and text
The agent pulls the full text, metadata, and version history of any existing wiki page you specify.

### Draft and publish new pages
You can ask your AI to write a document—like meeting minutes or requirements—and then have it published immediately into the designated Confluence space.

### Manage content structure
The agent lets you list, add, and delete labels on pages, keeping documentation organized and filterable for later searches.

## Use Cases

### Finding the right policy for new hires
A new HR employee asks their agent, 'What is our current remote work policy?' The agent uses `search_confluence` to pull up the correct document from the HR space and provides a summary of the key rules.

### Updating project requirements
A PM drafts updated feature specs in chat. They ask the agent to 'Publish this draft as a new page in the Product Space.' The agent uses `create_page` and formats it correctly, saving hours of manual copy-pasting.

### Reviewing technical debt
An engineer needs to know when a core API was last modified. They ask the agent for the `get_page_history` on the relevant page. The agent retrieves the full version log, showing exactly who updated it and why.

### Consolidating meeting feedback
A project lead reviews a complex wiki doc. They ask the agent to 'List all comments for this page.' The agent uses `list_page_comments` and compiles every piece of feedback into one readable summary.

## Benefits

- Stop context switching. You use the `search_confluence` tool to find answers without ever leaving your conversation window or opening a browser tab.
- Maintain an accurate record of information using `get_page_history`. You can instantly see who changed what, and when, on any page.
- Drafting content is faster than ever. Use the `create_page` tool to write PRDs or meeting summaries and publish them live into your designated space.
- Keep documentation clean with `add_label`. The agent lets you apply labels across pages, making it easier to filter and find specific types of information later on.
- Understand your entire knowledge graph by using `list_spaces` and then running `list_pages` to map out all the available content in a space.

## How It Works

The bottom line is: instead of navigating Confluence yourself, you talk to it via your AI client and get immediate results.

1. First, connect this MCP using your Atlassian API Token within Vinkius.
2. Next, tell your AI client what you need. For example, 'Find all policies related to remote work in the HR space.'
3. The agent executes the query and returns structured content—a summary, a link, or the full text—directly into your conversation thread.

## Frequently Asked Questions

**How do I use Confluence MCP to search for old policies?**
You run a query using `search_confluence` by describing the policy name or keywords. The agent returns matching documents and summaries, saving you from browsing every space.

**Can I update documentation using Confluence MCP? **
Yes. You can use the `create_page` tool to draft new content (like PRDs) based on your chat notes, and then publish that content directly into a live space.

**Does Confluence MCP let me see who changed the page?**
Absolutely. The `get_page_history` tool retrieves the full version log of any page, showing exactly which user made what changes and when.

**What if I want to organize my wiki pages better? **
You can use tools like `add_label` to apply standardized labels across multiple pages. This makes the content far easier for your agent to filter in future searches.

**How do I know what spaces exist before searching?**
Run the `list_spaces` tool first. This gives you a complete list of every primary workspace, so you can scope your search correctly from the start.