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Uddeshya 23 MCP Server JIRA
A model context protocol server that implements Jira integration, providing a standardized interface for AI models to interact with Jira.
rating : 2 points
downloads : 12
What is Jira MCP Server?
Jira MCP Server is a standardized interface service based on the Model Context Protocol (MCP), specifically designed for the integration of AI models with the Jira project management system. It provides a unified set of API specifications, allowing AI applications to easily access and manipulate data in Jira.How to use Jira MCP Server?
You only need to install the Node.js environment, configure the necessary API keys, and then start using it through simple REST API calls. The server will automatically handle the complex interactions with Jira and provide you with a standardized data format.Use cases
It is particularly suitable for scenarios where AI capabilities need to be integrated into the Jira workflow, such as automatically generating task reports, intelligently analyzing project progress, and automating ticket classification.Main features
Jira REST API integrationFully supports all functions of the Jira REST API, including issue management, kanban, and agile features
Connection pool optimizationBuilt - in high - performance connection pool to ensure efficient communication with the Jira server
Comprehensive error handlingAutomatically handles various abnormal situations and provides clear error messages
Type - safe implementationUses TypeScript to ensure type safety and reduce runtime errors
Built - in rate limitingAutomatically controls the request frequency to avoid triggering Jira's API limits
Request logging and monitoringRecords all API requests for easy problem troubleshooting and performance analysis
Advantages and limitations
Advantages
Simplifies the integration process of AI models with Jira
Provides a standardized data format, reducing adaptation work
Built - in performance optimization to ensure stability in high - concurrency scenarios
A perfect error - handling mechanism to improve system reliability
Limitations
Currently only supports the Node.js environment
Requires Jira administrator privileges to configure API access
There are slight differences in support for Jira Cloud and Jira Server
How to use
Install dependencies
Ensure that Node.js version 14 or higher is installed on the system
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Install the service package
Use npm to install Jira MCP Server
Configure environment variables
Create a.env file and set the necessary configuration parameters
Start the service
Choose the development mode or production mode to start the service
Usage examples
Automatically generate daily reportsThe AI model obtains the tickets created on the current day through the MCP Server and automatically generates a daily report containing key indicators
Sprint retrospective analysisAutomatically analyze the completion status at the end of the sprint and identify bottleneck problems
Intelligent ticket assignmentAutomatically assign new tickets based on the workload and expertise of team members
Frequently Asked Questions
What Jira permissions are required?
How to improve the performance of API requests?
Does it support Jira Server and Data Center?
How to monitor API usage?
Related resources
Official Jira REST API documentation
Jira official API reference documentation
MCP protocol specification
Official specification document of the Model Context Protocol
GitHub repository
Project source code and issue tracking
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