Python Jira MCP Server

Enables AI models to interact with Jira through a standardized Model Context Protocol (MCP).

What it actually does

This MCP server exposes Jira API operations as tools that can be used by AI models supporting the Model Context Protocol. The server implements the stdio transport mechanism to communicate with clients like Cursor.

• JQL Search Tool — Search for Jira issues using JQL queries
• Get Issue Tool — Retrieve detailed information about a specific Jira issue
• MCP SDK Integration — Compatible with the official MCP Python SDK
• Fallback Mode — Minimal implementation when the SDK is not available
• Environment Configuration — Load Jira credentials from environment variables

Configuration

• Python 3.8+ - Jira API access (API token, email, and domain) - Required Python packages: - mcp (Model Context Protocol Python SDK) - aiohttp (for HTTP requests) - pydantic (for validation) - python-dotenv (for environment variables)

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.