Jira MCP Server
by MCP-Mirror
This is a Model Context Protocol server implementation for Jira integration. It allows AI models to interact with Jira through a standardized interface.
Last updated: N/A
What is Jira MCP Server?
The Jira MCP Server is a server implementation that enables AI models to interact with Jira using the Model Context Protocol. It provides a standardized interface for AI models to access and manipulate Jira data.
How to use Jira MCP Server?
To use the server, you need to install it using npm, configure the required environment variables (JIRA_HOST, JIRA_API_TOKEN, JIRA_EMAIL, PORT, POOL_SIZE), and then start the server in either development or production mode using npm run dev or npm start respectively. You can then access the API endpoints to interact with Jira.
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
Automated issue creation
AI-powered issue analysis
Intelligent workflow automation
Data extraction for AI models
FAQ from Jira MCP Server
What is the purpose of this server?
What is the purpose of this server?
It allows AI models to interact with Jira through a standardized interface.
What environment variables are required?
What environment variables are required?
JIRA_HOST, JIRA_API_TOKEN, JIRA_EMAIL are required. PORT and POOL_SIZE are optional.
How do I start the server in development mode?
How do I start the server in development mode?
Use the command npm run dev.
What are some of the API endpoints?
What are some of the API endpoints?
GET /health, GET /api/v1/issues/:issueKey, GET /api/v1/sprint/current, GET /api/v1/analytics/workload
What license is this project under?
What license is this project under?
MIT License