Use Atlassian Rovo MCP Server

Atlassian Rovo MCP Server is a cloud-hosted Model Context Protocol (MCP) server that gives your AI tools secure, real-time access to your data across Jira, Confluence, Bitbucket, and other Atlassian apps.

Connect Rovo MCP and your AI clients like Claude, Cursor, VS Code, ChatGPT, and others to securely access and interact with your Atlassian data. By connecting Atlassian’s MCP server, you can bring the context of your Jira issues, Confluence pages, and Teamwork Graph directly into your preferred AI development tools and chat interfaces.

How Rovo credit usage works with Rovo MCP

When an AI client calls via Atlassian Rovo MCP to retrieve data or generate insights, it consumes Rovo credits. These credits come from the same shared pool used by Rovo Chat, Studio, Agents, and the Teamwork Graph, across your organization.

Credit usage is based on the complexity of the request:

  • Context volume: Larger amounts of data pulled from your site require more credits.

  • Reasoning depth: Complex queries that require more processing power consume more credits than lightweight lookups.

  • Usage cap: To help you manage costs, credit usage is per call.

For thresholds, plan-level allowances, and what happens when you approach your usage limit, see Rovo usage limits.

Enriched Teamwork Graph (TWG) API and tool calls, including unified search and context tools called via Rovo MCP, consume Rovo credits. These include but are not limited to: getTeamworkGraphContext,twg rovo search, searchAtlassian, search.

Find out how Rovo credits work for enriched TWG API and tool calls.

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