Integrations
Enables AI models to interact with Jira through its REST API, providing functionality for accessing issue details, sprint information, and workload analytics, with features like connection pooling and rate limiting for optimal performance.
Jira MCP Server
A Model Context Protocol server implementation for Jira integration. This server allows AI models to interact with Jira through a standardized interface.
Features
- Full Jira REST API integration
- Connection pooling for optimal performance
- Comprehensive error handling
- Type-safe implementation
- Built-in rate limiting
- Request logging and monitoring
Installation
Configuration
The server requires the following environment variables:
Usage
Starting the Server
API Endpoints
GET /health
- Health check endpointGET /api/v1/issues/:issueKey
- Get issue detailsGET /api/v1/sprint/current
- Get current sprint detailsGET /api/v1/analytics/workload
- Get workload analytics
Development
Prerequisites
- Node.js 14 or higher
- npm 6 or higher
Setup
- Clone the repository
- Install dependencies:
npm install
- Set up environment variables
- Start development server:
npm run dev
Testing
Contributing
Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.
License
This project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables AI models to interact with Jira using a standardized protocol, offering full Jira REST API integration with features like optimal performance through connection pooling, error handling, and request monitoring.
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