confluence cloud mcp

Local 2025-09-01 00:34:46 0
Communication @aaronsb/confluence-cloud-mcp

Enables AI assistants to interact with Confluence Cloud for managing spaces, pages, and content via the Model Context Protocol (MCP).

A Model Context Protocol (MCP) server that provides tools for interacting with Confluence Cloud. This server enables AI assistants to manage Confluence spaces, pages, and content through a standardized interface.

CI/CD Pipeline

Features

  • Space Management
  • List spaces
  • Get space details
  • Page Operations
  • Create, read, update pages
  • List pages in a space
  • Convert page content from Confluence storage format to Markdown
  • Search & Labels
  • Search content using CQL
  • Manage page labels

Setup

The easiest way to use this server is with the pre-built Docker image:

docker run --rm -i 
  -e CONFLUENCE_API_TOKEN=your-api-token 
  -e [email protected] 
  -e CONFLUENCE_DOMAIN=your-domain.atlassian.net 
  ghcr.io/aaronsb/confluence-cloud-mcp:latest

Option 2: Building Locally

  1. Clone the repository: 

    git clone https://github.com/aaronsb/confluence-cloud-mcp.git
cd confluence-cloud-mcp

  2. Build and run using the local build script: 

    # Build the Docker image
./scripts/build-local.sh

# Run the server
CONFLUENCE_API_TOKEN=your-token CONFLUENCE_EMAIL=your-email ./scripts/run-local.sh

Option 3: From Source

  1. Install dependencies: 

    npm install

  2. Configure environment variables: Create a .env file with your Confluence credentials: 

    CONFLUENCE_DOMAIN=your-domain.atlassian.net
[email protected]
CONFLUENCE_API_TOKEN=your-api-token

  3. Build the project: 

    npm run build

  4. Run the server: 

    node build/index.js

Usage

The server can be integrated with MCP-compatible AI assistants by adding it to their MCP configuration:

{
  "mcpServers": {
    "confluence": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "ghcr.io/aaronsb/confluence-cloud-mcp:latest"],
      "env": {
        "CONFLUENCE_DOMAIN": "your-domain.atlassian.net",
        "CONFLUENCE_EMAIL": "[email protected]",
        "CONFLUENCE_API_TOKEN": "your-api-token"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Note for AI Assistants: If you're an AI assistant like Cline trying to install this MCP server, please refer to the llms-install.md file for detailed installation instructions.

Available Tools

Space Tools

  • list_confluence_spaces: List all spaces in Confluence
  • get_confluence_space: Get details about a specific space

Page Tools

  • list_confluence_pages: List pages in a space
  • get_confluence_page: Get a specific page with its content (now includes Markdown conversion)
  • create_confluence_page: Create a new page in a space
  • update_confluence_page: Update an existing page

The get_confluence_page tool now automatically converts Confluence storage format content to Markdown, making it easier to work with page content. The conversion handles: - Headers (h1-h6) - Lists (ordered and unordered) - Links - Emphasis (bold/italic) - Code blocks - Tables - Paragraphs and line breaks

Search & Label Tools

  • search_confluence_pages: Search Confluence content using CQL
  • get_confluence_labels: Get labels for a page
  • add_confluence_label: Add a label to a page
  • remove_confluence_label: Remove a label from a page

Note: All tool names follow the [verb]confluence[noun] naming convention for consistency and clarity.

Development

This project is written in TypeScript and follows the MCP SDK conventions for implementing server capabilities. The codebase is organized into:

  • src/client/ - Confluence API client implementation
  • src/handlers/ - MCP tool request handlers
  • src/schemas/ - JSON schemas for tool inputs
  • src/types/ - TypeScript type definitions
  • src/utils/ - Utility functions including content format conversion

CI/CD Pipeline

This project uses GitHub Actions for continuous integration and deployment:

  • Automated testing and linting on pull requests
  • Automatic Docker image builds on main branch commits
  • Multi-architecture image builds (amd64, arm64)
  • Container publishing to GitHub Container Registry

Local Development

For local development, use the provided scripts:

  • ./scripts/build-local.sh: Builds the project and creates a local Docker image
  • ./scripts/run-local.sh: Runs the local Docker image with your credentials

License

MIT