This use case demonstrates how the MCP Server integrated with the Cursor Agent can streamline Jira issue management and development workflows. The integration is powered by mcp-atlassian, an open-source MCP server that provides seamless interaction with Atlassian products like Jira and Confluence.

By combining this MCP server’s capabilities with Cursor’s conversational interface, we were able to query Jira tasks, generate implementation code, push it to a repository, and update the task’s status—all in a single, interactive session.

About MCP Atlassian Server

The mcp-atlassian server provides a comprehensive set of tools for interacting with Atlassian products through MCP. Key features include:

  • Full Jira issue management (create, update, transition, comment)
  • Project and issue search capabilities
  • Worklog management
  • Epic linking and subtask handling
  • Confluence integration for documentation

This integration enables developers to manage their entire workflow directly from Cursor, reducing context switching and improving productivity.

🛠️ Agent Capabilities Overview

Using the mcp-atlassian server, the agent provides access to all Jira functionalities, including issue creation, updates, transitions, linking, and search:

Cursor Agent Jira Capabilities

🔍 Querying Assigned Tasks

We asked the agent to check for any Jira issues assigned in the aiblog project. It correctly used JQL and returned an open task: Add a menu bar with links to the four latest posts and one link to view all posts.

Search for Assigned Issues

✨ Implementing the Requested Feature

The agent scanned the existing Jekyll project, created the necessary layout and header files, and implemented the new functionality as requested.

Code Implementation Plan and Execution

✅ Committing and Updating Jira Status

The agent staged and committed the code, pushed it to GitHub, and transitioned the Jira issue from “To Do” to “Done” using MCP tools.

Commit and Jira Update

📋 Jira Issue Before Update

This is how the Jira issue looked before the agent completed the task:

Jira Before - To Do

📦 Jira Issue After Update

After the agent marked the issue as “Done”, here is the updated view:

Jira After - Done

💬 Issue Activity with Implementation Summary

The agent also posted a comment in the Jira issue with a summary of the implementation and linked commit hash.

Jira Comment and Summary

✅ Conclusion

This example showcases how integrating the MCP-powered Cursor Agent with Jira enables fast, structured, and traceable work—from task discovery to completion. This approach reduces context switching, speeds up delivery, and maintains tight alignment between code and project tracking tools.