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Project Management: Jira & Linear Integration

Development work doesn’t happen in a vacuum; it’s driven by tasks, user stories, and bug reports tracked in project management systems. By connecting your AI assistant to tools like Jira and Linear using their respective MCP servers, you can create a seamless, end-to-end workflow that starts with a ticket and ends with a merged pull request.

This integration eliminates the constant context-switching between your IDE and your project board, allowing you to manage your entire workflow from a single interface.

Bridging the Gap Between Plan and Execution

Section titled “Bridging the Gap Between Plan and Execution”

The project management MCP server acts as the critical link between the “what” (the requirements in your ticket) and the “how” (the code you write).

Task Comprehension

The AI’s first job is to understand the task at hand. By querying the MCP server, it can fetch the full context of a ticket—including its title, description, acceptance criteria, and any comments—directly into your chat. This is the starting point for the powerful “PRD → Plan → Todo” workflow.

Workflow Automation

The integration is bidirectional. The AI can’t just read data; it can also write it. After completing the work, it can add a comment to the ticket with a link to the pull request and automatically transition its status from “In Progress” to “In Review,” keeping your project board perfectly in sync with your codebase.


The “Ticket-to-PR” Workflow, Fully Automated

Section titled “The “Ticket-to-PR” Workflow, Fully Automated”

Here’s how a typical development task is streamlined with a project management MCP integration.

  1. Start with the Ticket ID. You’ve been assigned ticket FE-137 to build a new settings page.

    I'm starting work on ticket FE-137. Please fetch the details from Linear.

    The AI calls the Linear MCP server, retrieves all the information for FE-137, and displays it for you.

  2. Plan and Implement. With the requirements now in context, you proceed with your development workflow. The AI helps you create a plan, and you collaborate to write the code and tests for the new settings page.

  3. Commit and Create a Pull Request. Once the implementation is complete, you use the Git and GitHub MCP servers to commit the code and open a pull request.

  4. Update the Ticket. This is the final step that closes the loop.

    The pull request is open. Please update Linear ticket FE-137. Add a comment with the PR link and change its status to "In Review".

    The AI uses the Linear MCP server to perform these actions, ensuring that your project board is always an accurate reflection of your progress. There’s no need to manually copy-paste links or drag cards across the board; the AI handles the administrative work for you.

By integrating your project management tools into your AI-assisted workflow, you create a powerful, unified development environment. This connection saves time, reduces manual errors, and allows you to stay focused and in the flow.