Atlassian Rovo (Enterprise Search)

Enterprise AI search and chat platform that aggregates knowledge across Atlassian and third-party SaaS applications. Enables employees to access organizational knowledge, automate workflows, and make decisions with full context across people, projects, and code.

Autonomous AI agents that automate repetitive workflows and tasks across Atlassian apps (Jira, Confluence, Jira Service Management) and connected third-party systems. Examples include routing backlogs, accelerating reporting, and eliminating repetitive support questions.

Desktop browser extension that brings Rovo search and chat capabilities directly into the user's browser, enabling access to organizational knowledge across web-based workflows.

AI-powered conversational interface integrated within Rovo that allows users to query and interact with organizational data and connected SaaS applications.

Command-line interface for accessing Rovo capabilities and automating workflows from terminal environments.

Command-line interface integration enabling developers to access Rovo capabilities from terminal and development workflows.

Command-line interface for accessing Rovo functionality, enabling developers and advanced users to integrate Rovo capabilities into their CLI workflows and scripts.

CLI tool enabling developers to interact with Rovo capabilities directly from the command line for integration into scripts and automation workflows.

Integration framework enabling Rovo to connect to and aggregate data from third-party SaaS applications including Gmail, Google Drive, GitHub, Figma, DocuSign, Zendesk, Microsoft Teams, SharePoint, and 15+ others.

Integration layer enabling organizations using Atlassian Data Center (Jira, Confluence, Jira Service Management) to synchronize data with Rovo cloud environment and access AI features.

Model Context Protocol integration enabling Rovo to connect with external AI tools and LLM-powered applications.

Support for Model Context Protocol (MCP) enabling Rovo to integrate with and leverage external AI models and tools through standardized interfaces.

Model Context Protocol integration enabling Rovo to connect with external AI models and tools, extending agentic capabilities through standardized protocol interfaces.

Integration with Model Context Protocol (MCP) to enable Rovo to work with external tools and systems via standardized context exchange.

Mobile application enabling access to Rovo search, chat, and agent capabilities on iOS and Android devices.

Mobile interface enabling employees to access Rovo search, chat, and agent capabilities from iOS and Android devices.

Mobile interface providing access to Rovo search, chat, and agent capabilities on iOS and Android devices.

Integration with Model Context Protocol enabling Rovo to work with external AI tools and applications through a standardized interface.

Enterprise search powered by GenAI that pulls context across people, projects, and code from Atlassian and third-party SaaS applications to enable informed decision-making.

Platform for building and customizing AI agents and automations within the Rovo ecosystem, enabling teams to shape and govern how AI works for their specific workflows.

A data intelligence layer that seamlessly connects teams, work, and applications on a single platform, enabling Rovo to understand and contextualize organizational business data.