mcp -atlassian-jira
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
How to use
The mcp-atlassian-jira server is a powerful Node.js and TypeScript-based Model Context Protocol (MCP) server designed specifically for integrating AI systems with Atlassian Jira. This server enables you to efficiently list and retrieve projects, search and obtain issues using JQL or ID, and access development information such as commits and pull requests. By leveraging this server, you can seamlessly incorporate AI functionalities into your Jira project management and issue tracking workflows, enhancing productivity and decision-making.
Once connected to the mcp-atlassian-jira server, you can utilize its capabilities by sending commands to interact with your Jira instance. For instance, you can execute queries to list projects, retrieve specific issues based on JQL or issue ID, and access development data. You can use commands like listProjects(), getIssueById(issueId), or searchIssues(jqlQuery) to maximize the potential of your Jira integration. This server streamlines the process of accessing Jira data, making it easier for you to manage your projects effectively.
How to install
To install the mcp-atlassian-jira server, ensure you have Node.js installed on your system. Follow the instructions below:
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Prerequisites: Make sure you have Node.js (version 14.x or higher) installed on your machine.
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Option A: Quick start with npx: You can quickly start with the server using
npx:npx -y mcp-atlassian-jira -
Option B: Global install alternative: Alternatively, if you want to install it globally, you can do so with:
npm install -g mcp-atlassian-jira
After installation, you can start the server and connect it to your Jira instance.
Additional notes
For optimal performance, ensure that you have the necessary environment variables set, such as your Jira API token and instance URL. Common configuration variables include JIRA_API_TOKEN and JIRA_INSTANCE_URL. A common gotcha to watch out for is ensuring that your Jira user has the appropriate permissions to access the projects and issues you want to query, as lacking permissions can lead to incomplete data retrieval.
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