Jira MCP Server

What is Jira MCP Server?

A Model Context Protocol server implementation for Jira integration. It allows AI models to interact with Jira through a standardized interface, providing full REST API access with connection pooling, error handling, and rate limiting.

How to use Jira MCP Server?

Install via npm (npm install @modelcontextprotocol/server-jira). Configure environment variables JIRA_HOST, JIRA_API_TOKEN, JIRA_EMAIL (and optionally PORT, POOL_SIZE). Start the server with npm run dev for development or npm run build then npm start for production.

Key features of Jira MCP Server

• Full Jira REST API integration
• Connection pooling for optimal performance
• Comprehensive error handling
• Type-safe implementation
• Built-in rate limiting
• Request logging and monitoring

Use cases of Jira MCP Server

• AI agents querying and managing Jira issues
• Retrieving current sprint details programmatically
• Monitoring workload analytics via API
• Performing health checks on the integration

FAQ from Jira MCP Server

What does the Jira MCP Server do?

It implements the Model Context Protocol to let AI models interact with Jira through a standardized REST API.

What are the prerequisites to run it?

Node.js 14 or higher and npm 6 or higher are required. A valid Jira host, API token, and email must be configured.

How do I configure environment variables?

Set JIRA_HOST, JIRA_API_TOKEN, and JIRA_EMAIL. Optionally set PORT (default 3000) and POOL_SIZE (default 10).

How do I start the server?

In development run npm run dev. For production, run npm run build then npm start.

What API endpoints are available?

The server exposes GET /health, GET /api/v1/issues/:issueKey, GET /api/v1/sprint/current, and GET /api/v1/analytics/workload.