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Confluence MCP Server

by manateeit

Confluence MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to interact with Confluence, converting Markdown documents to professionally styled Confluence pages with Mermaid diagram support.

Features

  • 🔄 SSE Server: Real-time Server-Sent Events for live progress updates
  • 📝 Markdown to Confluence: Convert Markdown content to Confluence storage format
  • 📊 Mermaid Diagrams: Render Mermaid diagrams as images in Confluence pages
  • 🎨 Professional Styling: Modern, clean page layouts
  • 💾 Smart Caching: Local cache to link markdown files to Confluence pages
  • 🔒 Secure Authentication: Confluence API token authentication
  • ☁️ Fly.io Ready: Optimized for deployment on Fly.io

Tools Available

  • confluence_list_spaces - List all available Confluence spaces
  • confluence_list_pages - List pages in a specific space
  • confluence_create_page - Create new pages from Markdown content
  • confluence_update_page - Update existing pages with new content
  • confluence_delete_page - Delete pages and clean up cache

Quick Start

1. Installation

git clone <repository-url> cd confluence-mcp npm install

2. Configuration

Copy the example environment file and configure your Confluence credentials:

cp .env.example .env

Edit .env with your Confluence details:

CONFLUENCE_BASE_URL=https://your-domain.atlassian.net CONFLUENCE_USERNAME=your-email@domain.com CONFLUENCE_API_TOKEN=your-api-token MCP_API_KEY=your-mcp-api-key PORT=3001

3. Get Confluence API Token

  1. Go to Atlassian Account Settings
  2. Click "Create API token"
  3. Give it a label and copy the token
  4. Use your email as username and the token as password

4. Run the Server

# Development npm run dev # Production npm run build npm start

The server will be available at http://localhost:3001

Usage Examples

Create a Page from Markdown

# My Documentation This is a sample page with a Mermaid diagram: ```mermaid graph TD A[Start] --> B[Process] B --> C[End]

Some bold text and italic text.

The MCP server will: 1. Convert the Markdown to Confluence storage format 2. Render the Mermaid diagram as a PNG image 3. Create a professionally styled page 4. Cache the mapping for future updates ### Update an Existing Page When you update a markdown file, the server can automatically update the corresponding Confluence page using the cached mapping. ## API Endpoints ### SSE Endpoints - `GET /mcp` - Establish SSE connection for MCP protocol - `POST /messages` - Send MCP messages (requires sessionId) ### Health Check - `GET /health` - Server health status ## Deployment on Fly.io ### 1. Install Fly CLI ```bash # macOS brew install flyctl # Other platforms: https://fly.io/docs/getting-started/installing-flyctl/

2. Login and Initialize

fly auth login fly launch

3. Set Secrets

fly secrets set CONFLUENCE_BASE_URL=https://your-domain.atlassian.net fly secrets set CONFLUENCE_USERNAME=your-email@domain.com fly secrets set CONFLUENCE_API_TOKEN=your-api-token fly secrets set MCP_API_KEY=your-mcp-api-key

4. Deploy

fly deploy

Architecture

┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ AI Assistant │◄──►│ MCP Server │◄──►│ Confluence │ │ │ │ (SSE/HTTP) │ │ API │ └─────────────────┘ └──────────────────┘ └─────────────────┘ │ ▼ ┌──────────────────┐ │ Local Cache │ │ (JSON file) │ └──────────────────┘

Development

Project Structure

confluence-mcp/ ├── src/ │ ├── index.ts # Entry point │ ├── server.ts # MCP server with SSE support │ ├── services/ │ │ ├── confluence-client.ts # Confluence API client │ │ ├── markdown-converter.ts # Markdown to Confluence converter │ │ └── mermaid-renderer.ts # Mermaid diagram renderer │ ├── utils/ │ │ ├── cache.ts # Local cache management │ │ └── config.ts # Configuration management │ └── types/ │ └── index.ts # TypeScript type definitions ├── fly.toml # Fly.io configuration ├── package.json └── tsconfig.json

Building

npm run build

Testing

# Test health endpoint curl http://localhost:3001/health # Test SSE connection curl -N http://localhost:3001/mcp

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

License

MIT License - see LICENSE file for details

-
security - not tested
F
license - not found
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quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables AI assistants to interact with Confluence by converting Markdown documents to professionally styled Confluence pages with Mermaid diagram support.

  1. Features
    1. Tools Available
      1. Quick Start
        1. Installation
        2. Configuration
        3. Get Confluence API Token
        4. Run the Server
      2. Usage Examples
        1. Create a Page from Markdown
        2. Update an Existing Page
      3. API Endpoints
        1. SSE Endpoints
        2. Health Check
      4. Deployment on Fly.io
        1. Install Fly CLI
        2. Login and Initialize
        3. Set Secrets
        4. Deploy
      5. Architecture
        1. Development
          1. Project Structure
          2. Building
          3. Testing
        2. Contributing
          1. License

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