Confluence Cloud MCP Server

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.

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

Related MCP server: Confluence MCP

Setup

Option 1: Using Docker (Recommended)

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

Option 2: Building Locally

1. Clone the repository:

2. Build and run using the local build script:

Option 3: From Source

1. Install dependencies:

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

3. Build the project:

4. Run the server:

Usage

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

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