- Explore MCP Servers
- mcp-jira-python
Mcp Jira Python
What is Mcp Jira Python
mcp-jira-python is a Python implementation of a MCP server designed for JIRA integration. It facilitates secure communication between AI applications and JIRA, allowing for local data management.
Use cases
Use cases include automating JIRA issue management, integrating JIRA with AI applications, and enhancing project workflows through seamless communication between tools.
How to use
To use mcp-jira-python, clone the repository from GitHub and configure the ‘claude_desktop_config.json’ file with your JIRA credentials and server path. After setup, you can run various JIRA tasks through the Claude Desktop application.
Key features
Key features include creating, updating, deleting JIRA issues, retrieving issue details, managing issue links, searching issues using JQL, and adding comments with or without attachments.
Where to use
mcp-jira-python is primarily used in software development environments where JIRA is utilized for project management, issue tracking, and team collaboration.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Jira Python
mcp-jira-python is a Python implementation of a MCP server designed for JIRA integration. It facilitates secure communication between AI applications and JIRA, allowing for local data management.
Use cases
Use cases include automating JIRA issue management, integrating JIRA with AI applications, and enhancing project workflows through seamless communication between tools.
How to use
To use mcp-jira-python, clone the repository from GitHub and configure the ‘claude_desktop_config.json’ file with your JIRA credentials and server path. After setup, you can run various JIRA tasks through the Claude Desktop application.
Key features
Key features include creating, updating, deleting JIRA issues, retrieving issue details, managing issue links, searching issues using JQL, and adding comments with or without attachments.
Where to use
mcp-jira-python is primarily used in software development environments where JIRA is utilized for project management, issue tracking, and team collaboration.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP JIRA Python 🚀
A Python implementation of a MCP server for JIRA integration. MCP is a communication protocol designed to provide tools to your AI and keep your data secure (and local if you like). The server runs on the same computer as your AI application and the Claude Desktop is the first application to run MCP Servers (and is considered a client. See the examples folder for a simple python MCP client).
Installation
# Install the server locally
git clone https://github.com/kallows/mcp-jira-python.git
Tools Available
This MCP server provides the following JIRA integration tools:
delete_issue: Delete a Jira issue or subtask using its issue keycreate_jira_issue: Create a new Jira issue with customizable fields including summary, description, type, priority, and assigneeget_issue: Retrieve complete issue details including comments and attachments for a given issue keyget_issue_attachment: Download an attachment from a Jira issue to a local filecreate_issue_link: Create relationships between issues (e.g., “blocks”, “is blocked by”, etc.)update_issue: Update existing issues with new values for fields like summary, description, status, priority, or assigneeget_user: Look up a user’s account ID using their email addresslist_fields: Get a list of all available JIRA fields and their propertieslist_issue_types: Retrieve all available issue types in your JIRA instancelist_link_types: Get all possible relationship types for issue linkingsearch_issues: Search for issues using JQL (JIRA Query Language) within a specific projectadd_comment: Add a text comment to an existing issueadd_comment_with_attachment: Add a comment to an issue with an attached fileattach_file: Add a file attachment to an existing issueattach_content: Create and attach content directly to a Jira issue (allows creating attachments from any text or data content)
Claude Desktop Configuration
This requires you update claude_desktop_config.json. The file’s location varies depending on Apple, Windows, or Linux.
Windows
Note: location of claude_desktop_config.json in Windows is:
%AppData%\\Claude\\claude_desktop_config.json
This will resolve (usually) to:
C:\Users\YOURUSERNAME\AppData\Roaming\Claude
Below is the configuration block to add to claude_desktop_config.json.
With Windows we always use full paths. You will update “command”, set your directory path, and add your JIRA env settings
"jira-api": {
"command": "C:\\\\Users\\\\YOURUSERNAME\\\\.local\\\\bin\\\\uv.exe",
"args": [
"--directory",
"D:\\\\mcp\\\\mcp-jira-python",
"run",
"-m",
"mcp_jira_python.server"
],
"env": {
"JIRA_HOST": "YOURNAME.atlassian.net",
"JIRA_EMAIL": "[email protected]",
"JIRA_API_TOKEN": "YOURJIRATOKEN"
}
}
☠️WARNING - you MUST close Claude Desktop AND kill all Claude processes to enable the updated claude_desktop_config.json!😬
Mac and Linux
Update the filepath to mcp-jira-python and fill in your JIRA env values:
"mcp-jira-python": {
"command": "uv",
"args": [
"run",
"--directory", "/your/filepath/mcp-jira-python",
"-m", "mcp_jira_python.server"
],
"env": {
"JIRA_HOST": "your_org.atlassian.net",
"JIRA_EMAIL": "you@your_org.com",
"JIRA_API_TOKEN": "your_api_token"
}
}
Note:
You must restart Claude Desktop after saving changes to claude_desktop_config.json.
Running MCP JIRA Python Tools
These MCP Tools are listed under jira-api server. You can see the listing by clicking on the tiny hammer in the lower right corner of the Claude Desktop text entry box. Please verify that the jira-api tools are available in the list. To ‘run’ a tool, just ask Claude specifically to do a Jira task. Notably, Claude may not see the tools at first and has to be nudged. In some cases, he will refuse to use tools. Updating the system prompt is recommended.
Running Tests
The test suite provides comprehensive coverage of the MCP JIRA server functionality. To run tests, you need to set up environment variables for integration tests:
export JIRA_HOST="your-domain.atlassian.net"
export JIRA_EMAIL="[email protected]"
export JIRA_API_TOKEN="your-api-token"
export JIRA_PROJECT_KEY="TEST" # Project key for test issues
Run the full test suite:
python -m unittest discover tests
Run specific test categories:
# Integration tests
python -m unittest tests/test_jira_mcp_integration.py
# Unit tests for individual tools
python -m unittest discover tests/unit_tests
# Endpoint-specific tests
python -m unittest discover tests/endpoint_tests
Generate test coverage report:
python -m coverage run -m unittest discover tests python -m coverage report
Project Structure
mcp-jira-python/ ├── README.md ├── LICENSE ├── pyproject.toml ├── uv.lock ├── examples/ │ └── client.py ├── src/ │ └── mcp_jira_python/ │ ├── __init__.py │ ├── server.py │ └── tools/ │ ├── __init__.py │ ├── base.py │ ├── add_comment.py │ ├── add_comment_with_attachment.py │ ├── attach_content.py │ ├── attach_file.py │ ├── create_issue.py │ ├── create_issue_link.py │ ├── delete_issue.py │ ├── get_issue.py │ ├── get_issue_attachment.py │ ├── get_user.py │ ├── list_fields.py │ ├── list_issue_types.py │ ├── list_link_types.py │ ├── search_issues.py │ └── update_issue.py └── tests/ ├── __init__.py ├── README.md ├── conftest.py ├── test_jira_connection.py ├── test_jira_endpoints.py ├── test_jira_mcp_integration.py ├── test_jira_mcp_system.py ├── test_integration.py └── test_unit.py ├── endpoint_tests/ │ ├── test_add_comment.py │ ├── test_create_issue.py │ ├── test_get_issue.py │ └── test_update_issue.py └── unit_tests/ ├── __init__.py ├── test_base.py ├── test_add_comment.py ├── test_add_comment_with_attachment.py ├── test_create_issue.py ├── test_create_issue_link.py ├── test_delete_issue.py ├── test_get_issue.py ├── test_search_issues.py └── test_update_issue.py
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










