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
Basic information
MCP to talk to Jira from cursor
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-jira-server-soorajchandran": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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