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Atlassian Jira MCP Server

by aashari

This project provides a Model Context Protocol (MCP) server that acts as a bridge between AI assistants and your Atlassian Jira instance. It allows AI to securely access and interact with your projects, issues, and other Jira resources in real time.

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What is Atlassian Jira MCP Server?

This server implements the Model Context Protocol (MCP) specifically for Jira Cloud, bridging your Jira data with AI assistants. MCP is an open standard that allows AI systems to securely and contextually connect with external tools and data sources.

How to use Atlassian Jira MCP Server?

  1. Get an Atlassian API Token. 2. Configure credentials using either the MCP config file or environment variables. 3. Configure your MCP-compatible client (e.g., Claude, Cursor) to launch the server. Use the provided JSON configuration for Claude/Cursor.

Key features of Atlassian Jira MCP Server

  • Minimal Input, Maximum Output Philosophy

  • Complete Jira Context

  • Rich Development Information

  • Secure Local Authentication

  • Intuitive Markdown Responses

Use cases of Atlassian Jira MCP Server

  • Allow AI assistants to list Jira projects

  • Allow AI assistants to get details for a specific project

  • Allow AI assistants to list issues matching a JQL query

  • Allow AI assistants to get comprehensive details for a specific issue

FAQ from Atlassian Jira MCP Server

What is MCP?

Model Context Protocol (MCP) is an open standard that allows AI systems to securely and contextually connect with external tools and data sources.

How do I get an Atlassian API token?

Go to your Atlassian API token management page, create a token, and copy it.

Where do I configure my credentials?

You can configure credentials using either the MCP config file (~/.mcp/configs.json) or environment variables.

How do I connect my AI assistant?

Configure your MCP-compatible client to launch this server. Use the provided JSON configuration for Claude/Cursor.

What kind of information can I extract using this server?

You can extract information about projects, issues, comments, and linked development information.