Overview

The MCP Jira Server is a dedicated Model Context Protocol gateway that bridges Claude Code and Atlassian Jira. It exposes the full breadth of Jira’s REST API through a set of well‑structured tools, resources, and prompts, allowing AI assistants to perform sophisticated issue tracking operations without writing any code. For developers who rely on Jira for project management, this server eliminates the need to manually craft HTTP requests or manage authentication tokens—Claude can now create, update, search, and report on issues directly through natural language interactions.

At its core, the server offers a rich issue‑management toolkit: creating issues with custom fields, updating existing tickets, searching via JQL or simplified filters, transitioning workflow states, linking issues, and even batch‑creating epics with subtasks. These capabilities are packaged as discrete tools that can be invoked by the assistant, each handling field validation and error reporting internally. This design means developers can ask for complex operations—such as “create an epic titled Release 2.0 with three related tasks”—and receive a single, atomic response that the assistant can confirm or further refine.

Beyond basic issue handling, the server provides commenting and history management tools that surface comment metadata, allow adding comments in Atlassian Document Format, and support bulk commenting across multiple tickets. Attachment handling is also covered: users can list existing files or upload new ones using base64 encoding, ensuring that all documentation stays within Jira’s ecosystem. For agile teams, the server exposes board and sprint data, enabling operations like moving an issue into a sprint or creating a new sprint with custom dates—an essential feature for dynamic sprint planning.

The server’s resource endpoints (, , etc.) give Claude quick access to contextual data, while the set of prompts—such as standup-report, sprint-planning, and release-notes—allow the assistant to generate ready‑to‑share documentation. These prompts leverage the underlying tools to fetch relevant data, format it into natural language summaries, and even produce structured reports that can be pasted directly into Slack or email.

For developers integrating Claude into their workflows, the MCP Jira Server offers a seamless plug‑in: once configured with environment variables or an file, the server automatically handles OAuth‑like authentication against Jira’s API. The assistant can then orchestrate complex sequences—creating issues, assigning them, adding comments, and closing the loop with a sprint update—all within a single conversation. This capability reduces context switching, eliminates repetitive manual steps, and empowers teams to maintain up‑to‑date project artifacts through conversational AI.