J

Jira MCP Server

A Model Context Protocol (MCP) server for Jira integration that allows AI assistants to interact with Jira via MCP, providing functions such as project management, issue query, and member management.
2.5 points
8

What is Jira MCP Server?

This is an intermediary server that connects AI assistants (such as Claude) with the Jira project management tool. It uses the Model Context Protocol (MCP) to allow AI to query project information, manage tasks, track issues, etc., just like human users operating the Jira system.

How to use Jira MCP Server?

Simply configure your Jira account information, and the AI assistant can help you complete various Jira operations through natural language instructions, such as querying task status, creating new issues, or assigning work to team members.

Use Cases

It is particularly suitable for teams that need to interact with Jira frequently, such as project managers in development teams, QA engineers, or any users who wish to manage projects through a conversational interface.

Main Features

Project List QueryGet a list of all Jira projects you have access to.
Issue Details ViewView the complete detailed information of a specific Jira issue.
Intelligent Issue SearchFilter issues by conditions such as project and assignee.
Team ManagementView project members and their task assignments.
Issue CreationCreate new Jira tasks directly through AI instructions.
Sprint ManagementView and manage current and future sprint plans.

Advantages and Limitations

Advantages
Complete operations through natural language instructions without manual operation of the Jira interface.
Save time, especially suitable for frequent queries of project status.
AI can remember context and provide more intelligent project suggestions.
Open source and free, allowing free modification and extension of functions.
Limitations
API keys and permissions need to be configured.
Complex operations may still need to be completed by logging in to Jira.
It depends on the understanding ability of the AI assistant, and sometimes the instruction expression may need to be adjusted.

How to Use

Get API Access Permission
Create an API token in your Atlassian account settings.
Configure the MCP Server
Add your Jira credentials to the MCP configuration file.
Start the Server
Run the server program to allow AI to access Jira.
Use via AI Assistant
Use natural language instructions to let the AI help you operate Jira.

Usage Examples

Quick Query of Project StatusProject managers need to know the status of all issues assigned to developers in the current sprint.
Create a New TaskTesters find a bug and need to quickly create a tracking task.
Sprint Planning MeetingThe team needs to know the progress of the current sprint to plan the next sprint.

Frequently Asked Questions

What kind of Jira permissions are required to use this service?
Is the API token secure? How to protect it?
Can the returned fields be customized?
Does it support the Jira Server version?

Related Resources

GitHub Repository
Project source code and latest updates
Atlassian Developer Documentation
Official documentation for the Jira REST API
MCP Protocol Description
Technical specification of the Model Context Protocol
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "jira-mcp": {
      "command": "node",
      "args": ["./dist/index.js"],
      "env": {
        "JIRA_HOST": "your-domain.atlassian.net",
        "JIRA_EMAIL": "your-email@example.com",
        "JIRA_API_TOKEN": "your-api-token-here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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