confluence-cloud-mcp
The Confluence Cloud MCP Server is designed to enable AI assistants to manage Confluence environments through a standardized protocol. It offers comprehensive tools for space and page management, allowing for seamless integration and automation of tasks in Confluence Cloud.
What is the recommended way to deploy the Confluence Cloud MCP Server?
The recommended way to deploy the server is using the pre-built Docker image, which simplifies setup and ensures consistency across environments.
How does the server handle content conversion?
The server automatically converts Confluence storage format content to Markdown, making it easier to work with page content. This includes conversion of headers, lists, links, emphasis, code blocks, tables, and paragraphs.
What are the prerequisites for running the server from source?
To run the server from source, you need to have Node.js installed, along with the necessary Confluence credentials configured in a .env file.
Can the server be integrated with AI assistants?
Yes, the server can be integrated with MCP-compatible AI assistants by adding it to their MCP configuration, allowing them to manage Confluence content programmatically.
What CI/CD tools are used in the project?
The project uses GitHub Actions for continuous integration and deployment, including automated testing, linting, and Docker image builds.