JIRA MCP Server (Async)
A high-performance, asynchronous Model Context Protocol (MCP) server that integrates with JIRA using stdio transport
Overview
what is JIRA MCP Server (Async)?
JIRA MCP Server (Async) is a high-performance, asynchronous Model Context Protocol (MCP) server that integrates with JIRA using stdio transport, enabling AI assistants to interact with JIRA efficiently.
how to use JIRA MCP Server (Async)?
To use the server, clone the repository, install dependencies, set up your JIRA credentials in a .env file, and run the server with an MCP client like Claude Desktop.
key features of JIRA MCP Server (Async)?
- Asynchronous operations for improved performance
- Concurrent API calls for simultaneous processing
- Detailed issue tracking including comments and relationships
- Ability to create and update JIRA issues
- Clean architecture focused on essential tools
use cases of JIRA MCP Server (Async)?
- Integrating AI assistants with JIRA for issue management
- Automating JIRA issue tracking and updates
- Enhancing performance of JIRA queries with async operations
FAQ from JIRA MCP Server (Async)?
- What is the required Python version?
Python 3.13 or higher is required.
- How do I set up my JIRA credentials?
Create a
.envfile with your JIRA server URL and API token.
- Can I use this server with other MCP clients?
Yes, it is designed to work with any MCP client that supports stdio transport.
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