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Interact with Jira Cloud naturally through token-efficient normalized tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "jira-mcp" yet — see the docs or source repo.
Find JIRA-123, transition it to the next workflow state, and format the comments as concise Markdown.
Returns issue details and performs the transition plus comment formatting.
Summarize the Jira issues related to this week, returning only the necessary fields and minimizing noise.
Outputs a compact issue list or summary with reduced context usage.
Convert the comments from a Jira issue into Markdown so I can paste them into a document.
Converts ADF or rich-text comments into readable Markdown.
Product managers or teammates can inspect Jira issues, move them through workflow states, and add comments using natural language. It reduces context switching across interfaces.
When Jira comments or issue content need to be shared in docs, chat, or email, Markdown conversion makes them easier to read. It is useful for reporting and cross-tool syncing.
Developers building AI workflows around Jira can use its allowlisted fields and normalized tools to reduce token usage. It is suitable for efficient Jira automation assistants.
It is an MCP server for Jira Cloud that supports natural-language handling of issues, comments, transitions, and more. It is designed to reduce token usage through normalized tools, field allowlists, and ADF-to-Markdown conversion.
Based on the description, it covers common actions like issues, comments, and transitions through seven normalized tools. For the exact tool list, see the source repository.
It wraps Jira for natural language and MCP workflows, while minimizing output fields and context length. This makes it better suited for AI assistant integration.
Manage Jira Cloud projects, issues, boards, and workflows using natural language.
Manage Jira issues, run JQL searches, and trigger workflow transitions with natural language.
Manage Jira Cloud issues, comments, transitions, and attachments using natural language.
Enable AI assistants to search, create, and manage JIRA issues with JQL.
Manage JIRA issues, sprints, and users with natural language commands.
Connect AI to Jira for issue, project, agile, and search workflows.