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JIRA MCP Server (Async)

@judexzhu

代码仓库

关于 JIRA MCP Server (Async)

A high-performance, asynchronous Model Context Protocol (MCP) server that integrates with JIRA using stdio transport

#mcp-jira#jira-integration#async-server

基本信息

分类

版本控制

运行时

python

传输方式

stdio

发布者

judexzhu

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-jira-judexzhu": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is JIRA MCP Server (Async)?

A high-performance, asynchronous Model Context Protocol (MCP) server that integrates with JIRA using stdio transport. It allows AI assistants to perform JIRA operations—search, create, update issues, and track relationships—via MCP tools. Designed for developers using MCP clients like Claude Desktop.

How to use JIRA MCP Server (Async)?

Install with uv sync, configure environment variables JIRA_SERVER_URL and JIRA_API_TOKEN, then add the server to your MCP client’s configuration (e.g., Claude Desktop’s mcpServers block). The server runs over stdio and exposes tools with jira_ prefixes.

Key features of JIRA MCP Server (Async)

  • 8 MCP tools covering search, read, and write operations
  • Asynchronous, non-blocking API calls with connection pooling
  • Built-in rate limiting to respect JIRA API limits
  • Uses stdio transport for MCP client integration
  • Environment variables for timeouts, logging, and concurrency
  • Clean, tool-focused architecture without MCP resources

Use cases of JIRA MCP Server (Async)

  • Search JIRA issues with JQL from an AI assistant
  • Retrieve detailed issue information, comments, and links
  • Create new issues or update existing ones programmatically
  • Track epics, subtasks, and workflow transitions

FAQ from JIRA MCP Server (Async)

What JIRA operations does the server support?

The server provides tools for searching issues (jira_search_issues), getting details (jira_get_issue_details), reading comments and links, managing epics/subtasks, viewing transitions, and creating/updating issues—all with a jira_ tool prefix.

What environment variables are required?

JIRA_SERVER_URL (your JIRA instance URL) and JIRA_API_TOKEN are required. Optional variables include MAX_CONCURRENT_REQUESTS (default 2), REQUEST_TIMEOUT (30s), LOG_LEVEL, and more.

What transport does the server use?

It uses stdio transport, optimized for MCP client integration. No HTTP endpoints are exposed; the server communicates over standard input/output.

What are the runtime dependencies?

Python 3.13+ and the uv package manager. The server uses aiohttp for async HTTP calls and implements built-in connection pooling and rate limiting.

Are there any known limitations?

Rate limiting is built-in; the default MAX_CONCURRENT_REQUESTS value is 2 (requests per second). The server does not expose MCP resources—only tools—and relies entirely on the provided API token for authentication.

评论

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