Jira
Summary
This JIRA MCP server implementation, developed in Python, provides a bridge between AI assistants and JIRA's project management capabilities. Leveraging libraries like jira, mcp-server, and pydantic, it offers tools for issue tracking, project management, and workflow automation. The implementation focuses on simplifying interactions with JIRA's API, making it accessible for AI models to create, update, and query issues, manage projects, and automate workflows. It's particularly useful for tasks like automated bug tracking, sprint planning, or integrating project management into AI-driven systems, enabling assistants to interact with JIRA without requiring deep knowledge of the underlying API complexities.
Available Actions(12)
delete_issue
Delete a Jira issue or subtask using its issue key.
create_jira_issue
Create a new Jira issue with customizable fields including summary, description, type, priority, and assignee.
get_issue
Retrieve complete issue details including comments and attachments for a given issue key.
create_issue_link
Create relationships between issues (e.g., 'blocks', 'is blocked by', etc.).
update_issue
Update existing issues with new values for fields like summary, description, status, priority, or assignee.
get_user
Look up a user's account ID using their email address.
list_fields
Get a list of all available JIRA fields and their properties.
list_issue_types
Retrieve all available issue types in your JIRA instance.
list_link_types
Get all possible relationship types for issue linking.
search_issues
Search for issues using JQL (JIRA Query Language) within a specific project.
add_comment
Add a text comment to an existing issue.
add_comment_with_attachment
Add a comment to an issue with an attached file.
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