What are the prerequisites for running MCP Jira Server?
Python 3.8+, a Jira account with API access, and a Jira API token are required.
@SoorajChandran
基本信息
MCP to talk to Jira from cursor
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-jira-server-soorajchandran": {
"command": "python",
"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 Server is an MCP (Model Context Protocol) server that integrates with Jira for issue management. It is intended for developers and teams who want to programmatically create, read, update, search, and manage Jira issues and epics via MCP.
Clone the repository, install dependencies (Python 3.8+ required), copy .env.example to .env, and fill in your Jira credentials (server URL, email, API token). Then run python src/main.py. The server starts on http://localhost:8000.
Python 3.8+, a Jira account with API access, and a Jira API token are required.
Copy `.env.example` to `.env` and set `JIRA_SERVER` (your Jira instance URL), `JIRA_USER` (your email), and `JIRA_TOKEN` (your API token). Optional parameters include `JIRA_TIMEOUT` (default 30), `JIRA_MAX_RESULTS` (default 50), and `MCP_SERVER_PORT` (default 8000).
The server runs on port 8000 by default, configurable via the `MCP_SERVER_PORT` environment variable.
Never commit your `.env` file, keep your Jira API token secure, use HTTPS in production, and consider adding additional authentication for the API endpoints.
`JIRA_TIMEOUT` sets the API timeout in seconds (default 30), and `JIRA_MAX_RESULTS` limits the maximum results per page (default 50).
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