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Python Jira

CreatedChase-Bullock

Enables AI models to interact with Jira through a standardized Model Context Protocol (MCP).

Github Repo

About

This Python implementation of a Model Context Protocol (MCP) server bridges the gap between AI models and the Jira API. By exposing Jira API operations as tools accessible through the MCP, it allows AI models to search for Jira issues using JQL queries and retrieve detailed information about specific issues. Compatible with the MCP Python SDK and offering a fallback mode for when the SDK is unavailable, this server simplifies the integration of Jira data and functionalities into AI-powered workflows.

Key Features

  • Retrieves detailed information about specific Jira issues
  • Offers a fallback mode when the SDK is unavailable
  • Supports JQL search for Jira issues
  • Compatible with the official MCP Python SDK
  • Loads Jira credentials from environment variables

Use Cases

  • Integrating Jira data into AI-powered workflows
  • Enabling AI models to access and manipulate Jira issues
  • Automating Jira tasks using AI models