Jira
Summary
This JIRA MCP server, developed by Dimosthenis Kaponis, enables AI assistants to interact with JIRA data through the Model Context Protocol. Built with TypeScript and leveraging the JIRA REST API v3, it provides tools for searching issues, retrieving epic children, and getting detailed issue information. The implementation stands out by offering robust data cleaning features, including extraction of text from Atlassian Document Format and tracking of issue relationships. It's particularly useful for AI systems or applications needing to analyze JIRA data, automate project management tasks, or generate reports based on issue tracking information.
Available Actions(7)
search_issues
Search JIRA issues using JQL. Returns up to 50 results per request. Input Schema: { searchString: string; }
get_epic_children
Get all child issues in an epic including their comments and relationship data. Limited to 100 issues per request. Input Schema: { epicKey: string; }
get_issue
Get detailed information about a specific JIRA issue including comments and all relationships. Input Schema: { issueId: string; }
create_issue
Create a new JIRA issue with specified fields. Input Schema: { projectKey: string, issueType: string, summary: string, description?: string, fields?: { [key: string]: any } }
update_issue
Update fields of an existing JIRA issue. Input Schema: { issueKey: string, fields: { [key: string]: any } }
add_attachment
Add a file attachment to a JIRA issue. Input Schema: { issueKey: string, fileContent: string, filename: string }
add_comment
Add a comment to a JIRA issue. Accepts plain text and converts it to the required Atlassian Document Format internally. Input Schema: { issueIdOrKey: string, body: string }
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