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MCP Jira Integration

by Warzuponus

This project integrates Claude AI with Jira to automate and enhance project management tasks. It uses the MCP protocol for standardized interactions.

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What is MCP Jira Integration?

This is a Python-based integration that allows AI assistants to interact with Jira using the MCP (Message Communication Protocol). It provides a standardized way to create, manage, and search Jira issues through AI.

How to use MCP Jira Integration?

  1. Clone the repository. 2. Configure environment variables in .env with your Jira URL, username, API token, project key, and a secure API key for MCP authentication. 3. Use the provided Python code snippets to create and search issues via the MCP protocol. 4. Integrate with an AI assistant that supports the MCP protocol by configuring the MCP endpoint.

Key features of MCP Jira Integration

  • Jira issue creation and management through MCP protocol

  • API key-based authentication

  • Standardized request/response format for AI interactions

  • Issue creation and updates

  • Basic sprint tracking

  • Project and board management

  • Issue search and retrieval

Use cases of MCP Jira Integration

  • Automated issue creation based on AI analysis of user requests

  • AI-powered issue updates and task assignments

  • Intelligent issue search and retrieval using natural language queries

  • Integration with AI assistants for voice-controlled Jira management

FAQ from MCP Jira Integration

What is MCP?

MCP stands for Message Communication Protocol, a standardized way for AI assistants and applications to communicate.

How do I get a Jira API token?

You can create an API token in your Atlassian account settings under 'Security' -> 'API Tokens'.

What Python version is required?

Python 3.8 or higher is required.

How do I configure the API key?

Set the API_KEY environment variable in the .env file with a secure API key.

Can I contribute to this project?

Yes, you can fork the repository, create a feature branch, and submit a pull request.