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2025-01-09

JIRA integration server for Model Context Protocol (MCP) - enables LLMs to interact with JIRA tasks and workflows

3 years

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2

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Github Forks

6

Github Stars

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` }

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    Reviews

    5 (1)
    Avatar
    user_mu3Vu9Q7
    2025-04-16

    As a dedicated user of mcp-jira, I can confidently say that this product by Warzuponus has significantly streamlined my project management tasks. The integration with Jira is seamless and the user interface is intuitive. It has made tracking issues and managing workflows much more efficient. Highly recommend this tool to anyone looking to enhance their productivity with Jira. Check it out at https://github.com/Warzuponus/mcp-jira.