Atlassian

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Integrates Atlassian Cloud products like Confluence and Jira into the Model Context Protocol ecosystem, enabling AI models to access and interact with project and documentation data.

This tool functions as a Model Context Protocol (MCP) server, specifically designed for seamless integration with Atlassian Cloud products, including Confluence and Jira. It empowers AI models to programmatically interact with your internal documentation and project management data. By providing a structured interface, it allows AI to search Confluence content using CQL, retrieve specific page content and comments, access detailed Jira issue information, search issues with JQL, and list all issues within a project, bridging the gap between large language models and your Atlassian knowledge base. This integration is designed exclusively for Atlassian Cloud instances.

Key Features

01Get detailed information for individual Jira issues by key
02Access all issues associated with a specific Jira project
03Search Confluence content using CQL queries
049 GitHub stars
05Retrieve specific Confluence page content and comments by ID
06Search Jira issues using JQL queries with flexible field selection

Use Cases

01Automate retrieval of Jira project status or specific issue details for reporting and analysis via AI.
02Enable AI agents to answer questions based on internal company knowledge stored in Confluence.
03Integrate conversational AI to provide support or insights derived from real-time data in Confluence and Jira.