MCP Jira Server Bhx

MCP Jira Server Bhx

An MCP server integrated with Jira for issue management, supporting functions such as creating, reading, and updating Jira issues, searching for issues, epic management, and personal issue tracking.

Developer tools Customer support #Jira integration #Issue management #Task tracking .Python

rating : 2.5 points

downloads : 13

update time : 2025-04-23

What is MCP Jira Server?

MCP Jira Server is a middleware service that serves as an intelligent interface for the Jira project management system, allowing users to create, manage, and track Jira issues in a simplified way. It is particularly suitable for teams that need to integrate Jira with other systems or automate workflows.

How to use MCP Jira Server?

Through simple API calls or configurations, you can connect your existing Jira account and then use the simplified interface provided by the MCP server to manage Jira issues without directly operating the complex Jira interface.

Applicable scenarios

Suitable for teams that need to process Jira issues in batches, automate workflows, integrate Jira functions from other systems, or simplify the Jira operation interface.

Main features

Issue managementComplete CRUD (Create, Read, Update, Delete) functions for Jira issues

Advanced searchSupports complex JQL queries to find specific issues

Epic managementCreate and manage Epics and their subtasks

Personal issue trackingTrack personal issues assigned to you

PRD integrationCreate Jira issues directly from Product Requirement Documents (PRD)

Advantages and limitations

Advantages

Simplify the Jira operation interface and lower the usage threshold

Provide batch operation capabilities to improve work efficiency

Seamlessly integrate with existing workflows

Support advanced project management functions such as Epics and subtasks

Limitations

Require a Jira account and API access permissions

The support for Jira functions depends on the capabilities of the Jira API

Require basic Python environment configuration

How to use

Environment preparation

Ensure that Python 3.8 or a higher version is installed

Clone the repository

Get the source code of MCP Jira Server

Set up a virtual environment

Create and activate a Python virtual environment

Install dependencies

Install all necessary Python packages

Configure environment variables

Copy and edit the.env file and fill in your Jira credentials

Start the server

Run the main program to start the MCP server

Usage cases

Create issues from PRDAutomatically convert requirements in the product requirement document into Jira issues

Update issue statuses in batchesUpdate the statuses of multiple issues at once

Create an Epic and subtasksCreate an Epic and automatically generate related subtasks

Frequently Asked Questions

How to get a Jira API token?

How to access the server after it starts?

Which Jira versions are supported?

How to ensure security?

Related resources

Demo video

Function demonstration of MCP Jira Server

Developer's Twitter

The Twitter account of the project developer

Jira API documentation

Official Jira REST API documentation

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