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Atlassian Confluence MCP Server: AI Integration & Smart Insights - MCP Implementation

Atlassian Confluence MCP Server: AI Integration & Smart Insights

Bridge Claude/Anthropic AI to Confluence with this TypeScript MCP server – search, access, and harness spaces, pages, and content seamlessly for smarter knowledge-driven insights.

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Users create an average of 43 projects per month with this tool

About Atlassian Confluence MCP Server

What is Atlassian Confluence MCP Server: AI Integration & Smart Insights?

Atlassian Confluence MCP Server is an advanced middleware solution designed to integrate artificial intelligence capabilities with Confluence's content management system. It enables seamless interaction between AI platforms and Confluence through a standardized MCP (Machine Communication Protocol) interface. This server acts as a bridge, empowering AI applications to execute complex operations like content search, page manipulation, and space management using Confluence's CQL (Content Query Language) and REST APIs. It supports both command-line interfaces and development workflows, with tools for debugging and performance optimization.

How to use Atlassian Confluence MCP Server: AI Integration & Smart Insights?

CLI Execution

Deploy commands via terminal to perform actions such as:

  • Searching content with search "type=page space=DOCS"
  • Retrieving pages by ID: get-page 123456789
  • Listing spaces: list-spaces

Ai Platform Integration

Integrate with AI frameworks like MCP Inspector to visualize requests, test tools, and debug workflows through a web interface. Use development scripts to run server instances in debug mode with enhanced logging.

Development Workflows

Leverage npm scripts for testing, linting, and formatting. Extend functionality by customizing services, controllers, and resources within the src directory.

Atlassian Confluence MCP Server Features

Key Features of Atlassian Confluence MCP Server: AI Integration & Smart Insights?

  • CQL-Driven Search: Execute precise content queries using Confluence's native query language.
  • Page & Space Management: Create, retrieve, update, and delete pages/spaces programmatically.
  • CLI Accessibility: Command-line interface for rapid prototyping and automation.
  • Development Toolkit: Built-in testing, debugging, and code quality tools.
  • MCP Inspector Support: Real-time visualization of API interactions and tool performance.

Use Cases of Atlassian Confluence MCP Server: AI Integration & Smart Insights?

Intelligent Content Discovery

Automate document retrieval and analysis using AI-driven CQL queries for compliance audits or knowledge mining.

Automated Workflows

Trigger page updates or space migrations in response to events via scheduled CLI tasks or API hooks.

Development Acceleration

Use the server as a sandbox to test Confluence integrations before production deployment.

Data-Driven Insights

Aggregate metadata from Confluence content to generate reports or train AI models on documentation patterns.

Atlassian Confluence MCP Server FAQ

FAQ: Atlassian Confluence MCP Server

Is the server compatible with Confluence Cloud?

Yes, but requires proper API authentication configuration. Refer to Atlassian's API documentation for environment-specific setup.

How is user data secured during API calls?

Utilizes HTTPS encryption and Atlassian's OAuth2 authentication framework to protect sensitive credentials and content.

Can it be deployed in enterprise networks with restricted internet access?

Yes, supports offline mode configurations and proxy settings for controlled network environments.

What AI platforms are compatible?

Works with any MCP-compliant platform, including custom AI solutions built using Python/Node.js frameworks.

Content

Atlassian Confluence MCP Server

About

This project is a customizable Model Context Protocol (MCP) server written in TypeScript, designed to extend AI assistants like Claude or Cursor with access to Atlassian Confluence data. MCP is an open-source protocol by Anthropic for connecting AI systems to external capabilities securely and efficiently. For more details on MCP, see https://modelcontextprotocol.io/docs/. This server allows AI assistants to search and access Confluence spaces, pages, and content directly from your organization's knowledge base.

Project Features

  • MCP Server : Exposes Confluence tools and resources to AI clients (e.g., Claude Desktop, Cursor AI) via STDIO or HTTP.
  • Confluence Integration : Access spaces, pages, and search functionality from your Confluence instance.
  • CLI Support : Run Confluence queries directly from the command line without an AI client.
  • Flexible Configuration : Supports direct environment variables for quick use or a global config file at $HOME/.mcp/configs.json for managing multiple servers.
  • Development Tools : Built-in MCP Inspector for debugging, plus testing and linting utilities.

Available Tools

  • search : Search Confluence content using Confluence Query Language (CQL).
  • list-spaces : Get a list of all available Confluence spaces.
  • get-space : Retrieve detailed information about a specific space (supports both numeric IDs and space keys).
  • list-pages : Get a list of pages in a space with optional filtering.
  • get-page : Retrieve the full content of a specific page.

User Guide

Configuration Options

  • DEBUG : Set to true for detailed logging (default: false).
  • ATLASSIAN_SITE_NAME : Your Atlassian site name (e.g., your-instance for your-instance.atlassian.net) – required.
  • ATLASSIAN_USER_EMAIL : Your Atlassian account email address – required.
  • ATLASSIAN_API_TOKEN : API token for Atlassian API access – required.

Method 1: Environment Variables

Pass configs directly when running:

DEBUG=true ATLASSIAN_SITE_NAME=your-instance [[email protected]](/cdn-cgi/l/email-protection) ATLASSIAN_API_TOKEN=your_token npx -y @aashari/mcp-server-atlassian-confluence

Method 2: Global Config File (Recommended)

Create $HOME/.mcp/configs.json:

{
	"@aashari/mcp-server-atlassian-confluence": {
		"environments": {
			"DEBUG": "true",
			"ATLASSIAN_SITE_NAME": "your-instance",
			"ATLASSIAN_USER_EMAIL": "[[email protected]](/cdn-cgi/l/email-protection)",
			"ATLASSIAN_API_TOKEN": "your_api_token"
		}
	}
}

You can also configure multiple MCP servers in the same file:

{
	"@aashari/boilerplate-mcp-server": {
		"environments": {
			"DEBUG": "true",
			"IPAPI_API_TOKEN": "your_token"
		}
	},
	"@aashari/mcp-server-atlassian-confluence": {
		"environments": {
			"DEBUG": "true",
			"ATLASSIAN_SITE_NAME": "your-instance",
			"ATLASSIAN_USER_EMAIL": "[[email protected]](/cdn-cgi/l/email-protection)",
			"ATLASSIAN_API_TOKEN": "your_api_token"
		}
	},
	"@aashari/mcp-server-atlassian-jira": {
		"environments": {
			"DEBUG": "true",
			"ATLASSIAN_SITE_NAME": "your-instance",
			"ATLASSIAN_USER_EMAIL": "[[email protected]](/cdn-cgi/l/email-protection)",
			"ATLASSIAN_API_TOKEN": "your_api_token"
		}
	}
}

Using with Claude Desktop

  1. Open Settings :
    * Launch Claude Desktop, click the gear icon (top-right).
  2. Edit Config :
    * Click "Edit Config" to open claude_desktop_config.json (e.g., ~/Library/Application Support/Claude on macOS or %APPDATA%\Claude on Windows).
    * Click "Edit Config" to open claude_desktop_config.json (e.g., ~/Library/Application Support/Claude on macOS or %APPDATA%\Claude on Windows).
  3. Add Server :
    * Use the global config file (recommended):

    {
    "mcpServers": {
    "aashari/mcp-server-atlassian-confluence": {
    "command": "npx",
    "args": ["-y", "@aashari/mcp-server-atlassian-confluence"]
    }
    }
    }
* Or configure directly:
    
            {
    	"mcpServers": {
    		"aashari/mcp-server-atlassian-confluence": {
    			"command": "npx",
    			"args": [
    				"-y",
    				"DEBUG=true",
    				"ATLASSIAN_SITE_NAME=your-instance",
    				"[[email protected]](/cdn-cgi/l/email-protection)",
    				"ATLASSIAN_API_TOKEN=your_token",
    				"@aashari/mcp-server-atlassian-confluence"
    			]
    		}
    	}
    }
    
  1. Restart : Close and reopen Claude Desktop.
  2. Test : Click the hammer icon, verify Confluence tools are listed, then ask: "Search Confluence for project documentation" or "Show me the contents of the 'Getting Started' page."

Using with Cursor AI

  1. Open Settings :
    * Launch Cursor, press CMD + SHIFT + P (or CTRL + SHIFT + P), select "Cursor Settings" > "MCP".
  2. Add Server :
    * Click "+ Add new MCP server".
    * Name : aashari/mcp-server-atlassian-confluence.
    * Type : command.
    * Command :
    • Global config: npx -y @aashari/mcp-server-atlassian-confluence.
    • Direct: DEBUG=true ATLASSIAN_SITE_NAME=your-instance [[email protected]](/cdn-cgi/l/email-protection) ATLASSIAN_API_TOKEN=your_token npx -y @aashari/mcp-server-atlassian-confluence.
      • Click "Add".
  3. Verify : Check for a green indicator and Confluence tools listed.
  4. Test : In Agent mode, ask: "Find info about project X in Confluence" or "Get the 'Onboarding' page content."

Using as a CLI Tool

Run without installation:

# Help
npx -y @aashari/mcp-server-atlassian-confluence -- --help
# Search using CQL
npx -y @aashari/mcp-server-atlassian-confluence -- search "type=page space=DOCS"
# Get a page by ID
npx -y @aashari/mcp-server-atlassian-confluence -- get-page 123456789
# List spaces
npx -y @aashari/mcp-server-atlassian-confluence -- list-spaces

Or install globally:

npm install -g @aashari/mcp-server-atlassian-confluence

Then run:

# Help
mcp-confluence --help
# Search using CQL
mcp-confluence search "type=page space=DOCS"
# Get a page by ID
mcp-confluence get-page 123456789
# List pages with optional filtering
mcp-confluence list-pages --space-id 123456789 --limit 10
# List all spaces
mcp-confluence list-spaces
# Get a space by ID
mcp-confluence get-space 123456789
# Or get a space by key
mcp-confluence get-space DOCS

Use the global config file or prefix with environment variables:

DEBUG=true ATLASSIAN_SITE_NAME=your-instance [[email protected]](/cdn-cgi/l/email-protection) ATLASSIAN_API_TOKEN=your_token mcp-confluence search "type=page space=DOCS"

Developer Guide

Development Scripts

The project includes several scripts for development and production use:

  • npm run dev:server : Run the server in development mode with MCP Inspector and debug logging.
  • npm run dev:cli : Run CLI commands in development mode with debug logging.
  • npm run start:server : Run the server in production mode with MCP Inspector.
  • npm run start:cli : Run CLI commands in production mode.

Example usage:

# Start the server with Inspector and debug logging
npm run dev:server

# Run a CLI command with debug logging
npm run dev:cli -- search "type=page AND space=DEV"

# Start the server with Inspector (no debug)
npm run start:server

# Run a CLI command (no debug)
npm run start:cli -- list-spaces

Extending the Project

To add custom tools or resources:

  1. Services : Add API/data logic in src/services.
  2. Controllers : Implement business logic in src/controllers.
  3. Tools : Define new tools in src/tools.
  4. Resources : Add data sources in src/resources.
  5. Register : Update src/index.ts with your tools/resources.

Additional Development Tools

# Run tests
npm test
# Test coverage
npm run test:coverage
# Lint
npm run lint
# Format
npm run format

MCP Inspector

The MCP Inspector provides a visual interface for debugging and testing your MCP server:

  1. The Inspector starts your MCP server.
  2. It launches a web UI (typically at http://localhost:5173).
  3. Use the UI to test Confluence tools, view requests/responses, and check errors.

Versioning Note

This project follows semantic versioning independently from other MCP servers in the same family (like the Jira MCP server). Version differences between these projects are expected and reflect their individual development cycles and feature implementations.

License

ISC

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