MCP Jira Server
About
MCP Jira Server is an MCP (Model Context Protocol) server that integrates with Jira for issue management. It is intended for developers and teams who want to programmatically create, read, update, search, and manage Jira issues and epics via MCP.
Details
- Author
- SoorajChandran
- GitHub stars
- 3
- Downloads
- 193
- Categories
- Developer Tools
Jump to
- Create, read, and update Jira issues
- Search for issues across projects
- Epic management with subtask support
- Personal issue tracking
- Create issues from product requirement documents
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Jira ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, install dependencies (Python 3.8+ required), copy .env.example to .env, and fill in your Jira credentials (server URL, email, API token). Then run python src/main.py. The server starts on http://localhost:8000.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp jira server": {
"mcp-jira-server-soorajchandran": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}
}McpServers
{
"mcp-jira-server-soorajchandran": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}MCP Jira Server
An MCP server that integrates with Jira for issue management.
Demo video: Watch the demo
Vibecoded by Sooraj Chandran
Features
- Create, read, update Jira issues
- Search issues
- Epic management with subtasks
- Personal issue tracking
Other use cases
- Create issues from PRDsPrerequisites
- Python 3.8+
- Jira account with API access
- Jira API token
Setup
Option 1:
Clone the repo, ask Cursor (or your IDE) to look at README.md and keep clicking run command until it works.Option 2:
1. Clone the repository
2. Create a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
3. Install dependencies:
pip install -r requirements.txt
4. Copy
.env.example to .env and fill in your Jira credentials: cp .env.example .env
5. Edit
.env with your Jira configuration:- JIRA_SERVER: Your Jira instance URL
- JIRA_USER: Your Jira email
- JIRA_TOKEN: Your Jira API token
- JIRA_TIMEOUT: API timeout in seconds (default: 30)
- JIRA_MAX_RESULTS: Maximum results per page (default: 50)
- MCP_SERVER_PORT: Server port (default: 8000)
Note:
You'll have to create a static folder inside src.
Running the Server
python src/main.py
The server will start on http://localhost:8000
Security Notes
- Never commit your .env file
- Keep your Jira API token secure
- Use HTTPS in production
- Consider implementing additional authentication for the API endpoints
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