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
基本情報
MCP to talk to Jira from cursor
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-jira-server-soorajchandran": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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