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MCP JIRA Server

by Warzuponus
GitHub
Python
MIT License
6
  • Apple
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

Integrations

  • Integrates with Jira to automate project management tasks including issue creation and updates, sprint tracking, project and board management, and issue search and retrieval

MCP Jira Integration

This project integrates Claude AI with Jira to automate and enhance project management tasks.

Features

Core Functionality

  • Jira issue creation and management through MCP protocol
  • API key-based authentication
  • Standardized request/response format for AI interactions

Jira Integration Features

  • Issue creation and updates
  • Basic sprint tracking
  • Project and board management
  • Issue search and retrieval

Requirements

  • Python 3.8 or higher
  • Jira account with API token
  • Valid MCP implementation

Setup

  1. Clone the repository
  2. Configure environment variables in .env:
    JIRA_URL=https://your-domain.atlassian.net JIRA_USERNAME=your.email@domain.com JIRA_API_TOKEN=your_api_token PROJECT_KEY=PROJ API_KEY=your_secure_api_key # For MCP authentication

API Usage

Create Issue

from mcp_jira.protocol import MCPRequest, MCPContext # Create request context context = MCPContext( conversation_id=\"conv-123\", user_id=\"user-123\", api_key=\"your_api_key\" ) # Create issue request request = MCPRequest( function=\"create_issue\", parameters={ \"summary\": \"Implement feature X\", \"description\": \"Detailed description\", \"issue_type\": \"Story\", \"priority\": \"High\" }, context=context ) response = await mcp_handler.process_request(request)

Search Issues

request = MCPRequest( function=\"search_issues\", parameters={ \"jql\": \"project = PROJ AND status = 'In Progress'\" }, context=context ) response = await mcp_handler.process_request(request)

Authentication

All requests require an API key in the request header:

headers = { \"X-API-Key\": \"your_api_key\" }

Integration with AI Assistants

This MCP implementation is designed to work with AI assistants that support the MCP protocol:

  1. Configure the environment variables
  2. Set up the MCP endpoint in your AI assistant's configuration
  3. Use the standardized MCP protocol for Jira interactions

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Submit a pull request

License

MIT License - see LICENSE file, message: Update README to reflect current functionality` }

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

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 applications to manage JIRA issues, workflows, and tasks through a standardized MCP interface, facilitating real-time updates and seamless interaction with JIRA's API.

  1. Features
    1. Core Functionality
    2. Jira Integration Features
  2. Requirements
    1. Setup
      1. API Usage
        1. Create Issue
        2. Search Issues
      2. Authentication
        1. Integration with AI Assistants
          1. Contributing
            1. License

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