
Jira MCP Server
A Simple Model Context Protocol server that enables AI assistants to interact with Jira, allowing operations like fetching tickets, adding comments, and updating ticket status.
README
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
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
# Build and run with Docker
chmod +x run_docker_locally.sh
./run_docker_locally.sh
Option 2: Using Python
- Install dependencies:
pip install -r requirements.txt
- 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
.
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