Jira MCP Server

What is Jira MCP Server?

The Jira MCP Server is a Model Context Protocol implementation that enables AI models to interact with Jira through a standardized interface, integrating with the full Jira REST API.

How to use Jira MCP Server?

Install via npm install @modelcontextprotocol/server-jira, configure required environment variables (JIRA_HOST, JIRA_API_TOKEN, JIRA_EMAIL) and optional ones (PORT, POOL_SIZE), then start the server with npm run dev (development) or npm start (production). The server exposes HTTP endpoints for fetching issue details, current sprint details, and workload analytics.

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

• Retrieve Jira issue details by key
• Fetch current sprint information
• Obtain workload analytics for teams
• Enable AI assistants to query and interact with Jira data

FAQ from Jira MCP Server

What are the runtime dependencies for Jira MCP Server?

Node.js 14 or higher and npm 6 or higher are required.

How do I configure the server to connect to my Jira instance?

Set the environment variables JIRA_HOST (your domain), JIRA_API_TOKEN (API token), and JIRA_EMAIL (email) before starting the server.

What endpoints does the server expose?

The server provides GET /health for health checks, GET /api/v1/issues/:issueKey for issue details, GET /api/v1/sprint/current for current sprint, and GET /api/v1/analytics/workload for workload analytics.

Does the server have any rate limiting or monitoring?

Yes, built-in rate limiting and request logging are included as core features.

Where does the data live?

Data is stored in Jira Cloud; the server interacts with Jira via its REST API and does not store any data locally.