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MCP Jira Integration

@Warzuponus

基本信息

分类

版本控制

许可证

MIT

传输方式

stdio

作者

Warzuponus

关于 MCP Jira Integration

JIRA integration server for Model Context Protocol (MCP) - enables LLMs to interact with JIRA tasks and workflows

MCP Jira Integration 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-warzuponus": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Jira Integration 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

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 MCP Jira Integration?

MCP Jira Integration is a Model Context Protocol server that connects LLMs to Jira via the Jira REST API v3. It enables AI assistants to act as project managers and personal assistants for Jira teams by providing tools like issue creation, sprint tracking, and standup generation.

How to use MCP Jira Integration?

Clone the repository, install dependencies in a virtual environment, and configure Jira credentials in a .env file. Run the server with python -m mcp_jira and connect it to any MCP-compatible client (e.g., Claude Desktop) by adding the server entry to the client’s configuration file.

Key features of MCP Jira Integration

  • Create Jira issues with proper ADF formatting
  • Search issues using JQL with pagination
  • Get comprehensive sprint progress reports
  • Analyze team member workloads and capacity
  • Generate automated daily standup reports
  • Automatic retry with exponential backoff on errors

Use cases of MCP Jira Integration

  • Create a prioritized bug or task directly from an LLM prompt
  • Ask for real-time sprint status with visual metrics
  • Review team workload distribution and capacity planning
  • Generate daily standup reports with completed and blocked items
  • Manage multiple Jira projects by specifying project keys dynamically

常见问题

1

What are the requirements to run MCP Jira Integration?

Python 3.8 or higher, a Jira Cloud account with an API token, and an MCP-compatible client like Claude Desktop.

2

How do I get a Jira API token?

Go to Atlassian Account Settings > Security > API tokens, create a token, and use your email as username with the token as password.

3

Where do I configure the server for Claude Desktop?

The config file is at `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS and `%APPDATA%\Claude\claude_desktop_config.json` on Windows. Add the server entry with the absolute path to the Python binary inside the project’s `.venv` folder.

4

What should I do if I get “No active sprint found”?

Ensure your Jira board has an active sprint and that `DEFAULT_BOARD_ID` is set correctly in your configuration.

5

Can I override the default project key per request?

Yes. The `PROJECT_KEY` and `DEFAULT_BOARD_ID` values can be overridden dynamically when calling the tools.

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