AIBase
EN
Explore
MCP Jira Server Bhx
M

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 toolsCustomer support#Jira integration#Issue management#Task tracking.Python
2.5 points
9.3K
Open Site

Overview

Content Details

Alternatives

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 management
Complete CRUD (Create, Read, Update, Delete) functions for Jira issues
Advanced search
Supports complex JQL queries to find specific issues
Epic management
Create and manage Epics and their subtasks
Personal issue tracking
Track personal issues assigned to you
PRD integration
Create Jira issues directly from Product Requirement Documents (PRD)
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 PRD
Automatically convert requirements in the product requirement document into Jira issues
Update issue statuses in batches
Update the statuses of multiple issues at once
Create an Epic and subtasks
Create 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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.5K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.3K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.5K
5 points
R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
10.4K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.7K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.5K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.5K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.4K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.4K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
71.7K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.3K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
64.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.0K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
96.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase