MCP Atlassian Server

The MCP Atlassian Server bridges the gap between AI assistants and the rich ecosystem of Atlassian products—Confluence for knowledge management and Jira for issue tracking. By exposing Confluence’s content and Jira’s tickets through the Model Context Protocol, it enables Claude or other MCP‑compatible assistants to query, retrieve, and reference enterprise data without leaving the conversational interface. This integration solves a common pain point for teams that rely on AI to surface relevant documentation or status updates while maintaining the security and compliance controls of their existing Atlassian setup.

At its core, the server offers two specialized tools: and . The Confluence tool accepts a CQL (Confluence Query Language) string, optionally limits the number of results, and returns pages, attachments, or comments that match the query. Similarly, takes a JQL (Jira Query Language) expression and an optional list of fields, delivering concise issue summaries that can be woven into a conversation. The server also provides resource templates ( and ) that allow the assistant to generate clickable links directly back into Confluence or Jira, preserving context for users.

For developers building AI‑augmented workflows, this server offers several practical benefits. It eliminates the need to write custom API wrappers for Confluence and Jira, reducing boilerplate code and potential security misconfigurations. Teams can quickly prototype chatbots that fetch the latest engineering documentation or pull up open bugs, all while adhering to existing authentication mechanisms (API tokens and basic auth). The ability to filter by space or project means the assistant can surface only the most relevant content, improving efficiency and reducing noise.

Real‑world scenarios include sprint planning meetings where an AI assistant pulls the current backlog items and links to their Confluence design docs, or onboarding sessions where new hires receive a curated list of policy pages and open tickets. In support contexts, agents can ask the assistant for the latest status of a Jira issue and receive an embedded link to the corresponding Confluence discussion, streamlining knowledge transfer. Because the server is MCP‑compliant, it can be integrated into any client that understands the protocol—whether a desktop assistant like Claude Desktop or a custom web UI—making it a versatile component in AI‑powered enterprise tooling.

Unique advantages of the MCP Atlassian Server lie in its tight coupling with Atlassian’s native query languages and resource identifiers. Users can craft complex queries directly in CQL or JQL, leveraging the full expressiveness of these languages without additional translation layers. The server’s lightweight design means it can run locally or in a secure cloud environment, ensuring that sensitive data never leaves the organization’s perimeter. Overall, this MCP server empowers developers to harness the power of Confluence and Jira within AI assistants, turning static repositories into dynamic conversational assets.