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Confluence Cloud

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# 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. [![CI/CD Pipeline](https://github.com/aaronsb/confluence-cloud-mcp/actions/workflows/ci-cd.yml/badge.svg)](https://github.com/aaronsb/confluence-cloud-mcp/actions/workflows/ci-cd.yml) ## 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 ### Option 1: Using Docker (Recommended) The easiest way to use this server is with the pre-built Docker image: \`\`\`bash docker run --rm -i \ -e CONFLUENCE_API_TOKEN=your-api-token \ -e CONFLUENCE_EMAIL=your-email@domain.com \ -e CONFLUENCE_DOMAIN=your-domain.atlassian.net \ ghcr.io/aaronsb/confluence-cloud-mcp:latest \`\`\` ### Option 2: Building Locally 1. Clone the repository: \`\`\`bash git clone https://github.com/aaronsb/confluence-cloud-mcp.git cd confluence-cloud-mcp \`\`\` 2. Build and run using the local build script: \`\`\`bash # 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: \`\`\`bash npm install \`\`\` 2. Configure environment variables: Create a \`.env\` file with your Confluence credentials: \`\`\` CONFLUENCE_DOMAIN=your-domain.atlassian.net CONFLUENCE_EMAIL=your-email@domain.com CONFLUENCE_API_TOKEN=your-api-token \`\`\` 3. Build the project: \`\`\`bash npm run build \`\`\` 4. Run the server: \`\`\`bash node build/index.js \`\`\` ## Usage The server can be integrated with MCP-compatible AI assistants by adding it to their MCP configuration: \`\`\`json \{ "mcpServers": \{ "confluence": \{ "command": "docker", "args": ["run", "--rm", "-i", "ghcr.io/aaronsb/confluence-cloud-mcp:latest"], "env": \{ "CONFLUENCE_DOMAIN": "your-domain.atlassian.net", "CONFLUENCE_EMAIL": "your-email@domain.com", "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](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

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