Jira Aio MCP Server
J

Jira Aio MCP Server

An MCP server for interacting with the Jira AIO test case management system, providing functions such as test case query and project structure retrieval.
2 points
9.1K

What is the AIO MCP Server?

The AIO MCP Server is a middleware service that allows users to interact with Jira's AIO test case management system through standard protocols. It simplifies the process of querying and managing test cases and provides a unified API interface.

How to use the AIO MCP Server?

It can be used through simple configuration and commands. The main steps include installation, configuration, and calling API tools.

Applicable scenarios

Suitable for scenarios such as automated test processes, test report generation, or test data analysis that require integration with the Jira AIO test management system.

Main features

Get test case details
Get complete test case information through the project key and test case key
Search for test cases
Search for test cases by project and folder
Get folder structure
View the complete folder hierarchy of the project
List all projects
Get a list of all available projects in AIO
Advantages
The unified interface simplifies integration with Jira AIO
Supports multiple query methods to flexibly meet different needs
Built - in error handling mechanism provides clear error information
Limitations
Requires access to a Jira instance and a valid API token
Only supports the Jira AIO test management system
Requires a Node.js runtime environment

How to use

Installation preparation
Ensure that Node.js is installed and Jira API access permissions are obtained
Install dependencies
Clone the repository and install the required dependencies
Build the project
Build an executable file
Configure the server
Create a configuration file and set Jira connection parameters

Usage examples

Get test case details
Developers need to view the detailed steps and expected results of a specific test case
Generate a test report
Test managers need to export all test cases in a specific folder of a project

Frequently Asked Questions

How to get a Jira API token?
Where should the configuration file be placed?
How to verify if the configuration is correct?

Related resources

Jira official documentation
Official documentation for the Jira REST API
Node.js download
Official website of Node.js
Example configuration file
A complete example configuration file

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
9.6K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
10.0K
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
8.7K
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
10.0K
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
8.9K
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
28.5K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.7K
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
38.2K
5 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
23.9K
4.5 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
69.7K
4.5 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#
37.5K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.5K
4.8 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
106.3K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase