Create a Jira project by specifying key, name, template, and schemes using Jira MCP Server. Simplify project setup with customizable options for security, permissions, and notifications.
Retrieve Jira issues by submitting a JQL query to filter and fetch specific results, with options to limit the number of returned entries using the Jira MCP Server.
Connects AI assistants like Claude to Jira projects, enabling natural language queries and operations for issue management, project tracking, comments, and workflows through the Jira REST API.
Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.
Discover available tools from any MCP server by specifying its command or URL. Returns tool names, descriptions, and input schemas for integration planning.
Update a Jira issue's fields including summary, markdown description, simple fields, and rich text fields with automatic Atlassian Document Format conversion.
Create tickets in GitHub, Jira, or Linear to transform ideas into actionable items. Converts captured feedback into trackable issues with titles, descriptions, and priorities.
Scan an MCP server for security vulnerabilities, description quality, and architecture issues. Get a security rating from F to A+ with actionable recommendations for safe deployment.
Resolve a Jira ticket, create a local branch with auto-generated name, fetch project README from Bitbucket for conventions, and get a next-steps summary. Use issue key or free-text search.