SystemPrompt MCP Server

# Confluence 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 - Search & Labels - Search content using CQL - Manage page labels ## Setup 1. Install dependencies: ```bash npm install ``` 2. Configure environment variables: Create a `.env` file with your Confluence credentials: ``` CONFLUENCE_HOST=your-domain.atlassian.net CONFLUENCE_USERNAME=your-email@domain.com CONFLUENCE_API_TOKEN=your-api-token ``` 3. Build the project: ```bash npm run build ``` ## Usage The server can be integrated with MCP-compatible AI assistants by adding it to their MCP configuration: ```json { "mcpServers": { "confluence": { "command": "node", "args": ["path/to/build/index.js"], "env": { "CONFLUENCE_HOST": "your-domain.atlassian.net", "CONFLUENCE_USERNAME": "your-email@domain.com", "CONFLUENCE_API_TOKEN": "your-api-token" } } } } ``` ## Available Tools ### Space Tools - `list_spaces`: List all spaces in Confluence - `get_space`: Get details about a specific space ### Page Tools - `list_pages`: List pages in a space - `get_page`: Get a specific page with its content - `create_page`: Create a new page in a space - `update_page`: Update an existing page ### Search & Label Tools - `search_content`: Search Confluence content using CQL - `get_labels`: Get labels for a page - `add_label`: Add a label to a page - `remove_label`: Remove a label from a page ## 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 ## License MIT