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.
@Warzuponus
基本信息
JIRA integration server for Model Context Protocol (MCP) - enables LLMs to interact with JIRA tasks and workflows
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"
]
}
}
}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。
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.
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.
Python 3.8 or higher, a Jira Cloud account with an API token, and an MCP-compatible client like Claude Desktop.
Go to Atlassian Account Settings > Security > API tokens, create a token, and use your email as username with the token as password.
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.
Ensure your Jira board has an active sprint and that `DEFAULT_BOARD_ID` is set correctly in your configuration.
Yes. The `PROJECT_KEY` and `DEFAULT_BOARD_ID` values can be overridden dynamically when calling the tools.
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