Integrates AI assistants with Jira and Confluence to automate information retrieval and content management tasks.
Sponsored
This Model Context Protocol (MCP) server acts as a powerful bridge, enabling AI assistants to seamlessly interact with Jira and Confluence. It allows for comprehensive querying of issues and pages using JQL and CQL, as well as the creation and updating of content within these Atlassian platforms. Designed for ease of integration with popular AI clients like OpenCode, GitHub Copilot, and Claude Desktop, it enhances productivity by translating AI-generated Markdown into native Atlassian Document Format (ADF), ensuring rich, consistent content. The server prioritizes safe operations, focusing on read-heavy access with controlled write capabilities and robust security through Atlassian API tokens.
Características Principales
01Automatically convert AI-generated Markdown to Atlassian Document Format (ADF)
021 GitHub stars
03Search Jira issues with JQL and Confluence pages with CQL
04Safe operations with no delete functionality; read-heavy with controlled write access
05Easy setup for integration with OpenCode, GitHub Copilot, Claude Desktop, and more
06Create and update Jira issues and Confluence pages
Casos de Uso
01Manage Jira workflow statuses, such as transitioning issues to 'Done' or 'In Progress'
02Create new Jira issues or Confluence pages and update existing content through AI prompts
03Automate searching and querying for specific Jira issues or Confluence documentation using natural language
