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    Simple Jira Mcp

    A really simple MCP server for Jira, which uses docker for easy deployment.

    1 stars
    Python
    Updated Apr 1, 2025

    Table of Contents

    • Prerequisites
    • Environment Variables
    • Running Locally
    • Option 1: Using Docker
    • Option 2: Using Python
    • Using the MCP Server

    Table of Contents

    • Prerequisites
    • Environment Variables
    • Running Locally
    • Option 1: Using Docker
    • Option 2: Using Python
    • Using the MCP Server

    Documentation

    Jira MCP Server

    A Simple Model Context Protocol (MCP) server that allows AI assistants to interact with Jira. This server enables AI to perform actions like:

    • Fetching user's assigned tickets
    • Adding comments to tickets
    • Getting available status transitions
    • Updating ticket status

    Prerequisites

    • Docker
    • Jira account with API access
    • Environment variables configured (see below)

    Environment Variables

    Create a .env file in the root directory with the following:

    code
    JIRA_SERVER=https://yourcompany.atlassian.net
    JIRA_USERNAME=yourname@yourcompany.com
    JIRA_API_KEY=yourapikey
    JIRA_PROJECT_KEY=yourprojectkey

    Get your API key from: https://id.atlassian.com/manage-profile/security/api-tokens

    Running Locally

    Option 1: Using Docker

    bash
    # Build and run with Docker
    chmod +x run_docker_locally.sh
    ./run_docker_locally.sh

    Option 2: Using Python

    1. Install dependencies:

    bash
    pip install -r requirements.txt

    2. Run the server:

    bash
    uvicorn src.server:app --reload

    This will start the server on http://localhost:8000.

    Using the MCP Server

    The MCP server is exposed at http://localhost:8000/mcp.

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