MCP ExplorerExplorer

Simple Jira Mcp

@maximepeabodyon a year ago
1 Apache-2.0
FreeCommunity
AI Systems
A simple MCP server for Jira, which uses docker for easy deployment.

Overview

What is Simple Jira Mcp

simple-jira-mcp is a Simple Model Context Protocol (MCP) server designed for Jira, enabling AI assistants to interact with Jira through actions like fetching tickets, adding comments, and updating statuses.

Use cases

Use cases include automating ticket management for AI assistants, integrating Jira with other applications, and enhancing team productivity by allowing AI to handle routine tasks in Jira.

How to use

To use simple-jira-mcp, you need to set up a Docker environment or run it using Python. Configure the necessary environment variables in a .env file, and then either build and run it with Docker or install dependencies and run the server using Python.

Key features

Key features include fetching assigned tickets, adding comments to tickets, retrieving available status transitions, and updating ticket statuses, all facilitated through a simple API interface.

Where to use

simple-jira-mcp can be used in software development environments, project management, and any organization utilizing Jira for tracking tasks and issues.

Content

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:

JIRA_SERVER=https://yourcompany.atlassian.net
[email protected]
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

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

Option 2: Using Python

  1. Install dependencies:
pip install -r requirements.txt
  1. Run the server:
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.

Tools

No tools

Comments

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