Atlassian and OpenAI deepen partnership, putting GPT-6 frontier models into Rovo and the enterprise platform
On October 6, Atlassian and OpenAI announced an expanded partnership putting GPT-6 Astra and the GPT-5.6 series into Rovo and across Atlassian; the rebuilt MCP server handles over 15 million calls a day.
On October 6, enterprise collaboration and developer tools company Atlassian and OpenAI announced an expansion of their 2023 partnership, putting GPT-6 family frontier models across the Atlassian platform and its AI product Rovo to support planning, building and delivery. Under the new agreement, OpenAI frontier models will power agents on Atlassian's platform and in Rovo.
Rovo combines OpenAI model capabilities with Atlassian's Teamwork Graph, a corporate context layer that connects people, projects, documents and decisions so the AI can understand how a company actually operates. More than 3,000 Atlassian developers already use Codex across terminals, IDEs and code-review workflows, and Atlassian is expanding its use of ChatGPT Enterprise.
The new plugin capabilities target ChatGPT and Codex, bringing Jira work items, Confluence content and people information directly into prompts so AI can read relevant project information, documentation and development context within user permissions. The rebuilt Atlassian MCP server handles more than 15 million calls a day, exposes 220-plus tools across Jira, Confluence, Bitbucket, Loom, Goals and more, and enforces OAuth 2.1 plus PKCE with per-user permission scoping, separated read/write/destructive tiers, DLP policies from Atlassian Guard and org-wide audit logging.
Both companies stress that Rovo still routes dynamically across OpenAI and other providers via an internal AI gateway, with continued support for Anthropic Claude and other models. In VentureBeat coverage, an OpenAI representative described the agreement as effectively a spend commitment from Atlassian to OpenAI models and tech, but Atlassian was explicit that GPT-6 Astra is not becoming Rovo's default model. The two companies are also exploring deeper Jira integrations to assign work to AI agents, track progress, capture decisions and review results, paired with DX (Atlassian's developer productivity platform) to measure AI's impact on development speed, cycle time and developer experience.