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Confluence

scottleppbyscottlepp
•
Content Management
API Development
Data Science & ML

Provides AI models with comprehensive access to Confluence Cloud's REST API, enabling advanced content interaction and management.

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This tool functions as a Model Context Protocol (MCP) server, designed to provide AI models with full programmatic access to Confluence Cloud's capabilities via its REST API v2. It empowers AI systems to seamlessly interact with and manage a wide array of Confluence content, including pages, spaces, blog posts, comments, and attachments. The server supports detailed configuration for tool filtering, allows working with different body formats like Storage and Atlassian Document Format (ADF), and facilitates advanced operations such as the programmatic insertion of Forge app macros like Mermaid diagrams. It also incorporates self-healing AI agents to automate software maintenance tasks, positioning Confluence as a rich, accessible context source for AI-driven workflows.

Key Features

01Provides AI models with full REST API access to Confluence Cloud functionalities.
02Offers granular control over exposed tools via category and specific tool filtering.
03Includes self-healing AI agents for automated bug fixes and pull request reviews.
040 GitHub stars
05Supports multiple Confluence body formats including Storage, ADF, and View.
06Enables programmatic insertion of Forge app macros (e.g., Mermaid diagrams) using ADF.

Use Cases

01Enabling AI models to intelligently read, create, and update Confluence content.
02Automating documentation and content management tasks within Confluence Cloud.
03Integrating AI agents for automated software maintenance, bug fixing, and code review.