MCP JIRA Server

MCP JIRA Server

A Model Context Protocol (MCP) server that provides seamless JIRA integration for AI tools. Create and manage JIRA issues with rich markdown formatting, automatic conversion to Atlassian Document Format (ADF), and flexible field management.

Overview

This MCP server enables AI assistants to interact directly with JIRA instances through the JIRA REST API v3. It handles the complexity of markdown-to-ADF conversion, field mapping, and multi-site configuration, allowing AI tools to create well-formatted JIRA issues with minimal setup.

Key architectural components:

• MCP Server: FastMCP-based server with stdio/SSE transport support
• JIRA Client: Direct REST API integration with authentication handling
• Markdown Converter: Converts markdown to Atlassian Document Format (ADF)
• Configuration System: Multi-site JIRA configuration with flexible site selection
• Field Management: Support for both standard and custom JIRA fields

Features

• Rich Markdown Support: Convert markdown descriptions to properly formatted ADF with support for:
  • Headers, paragraphs, and text formatting (bold, italic, inline code)
  • Fenced code blocks with syntax highlighting
  • Bullet and numbered lists
  • Tables and complex formatting elements
• Flexible Field Management:
  • Create and update JIRA issues with standard fields: project, summary, description, issue type.
  • Robust assignee handling: Provide an email address, and the server resolves it to the correct JIRA accountId for reliable assignment.
  • additional_fields parameter supports labels, priority, due dates, and other custom fields.
  • Graceful degradation for unavailable fields across different JIRA configurations.
• Multi-Site Configuration: Support for multiple JIRA instances with site aliases, configurable in config.yaml.
• Comprehensive Error Handling: Detailed error messages and logging.
• Transport Flexibility: Support for both stdio and SSE transport modes.

Installation

From Source

Configuration

JIRA Configuration

The server requires a config.yaml file to connect to your JIRA instance(s). The server will attempt to load this file from the following locations, in order of precedence:

1. The path specified by the --config command-line argument.
2. The path specified by the MCP_JIRA_CONFIG_PATH environment variable.
3. The default OS-specific user configuration directory:
   • Linux: ~/.config/mcp_jira/config.yaml
   • macOS: ~/Library/Application Support/mcp_jira/config.yaml
   • Windows: %APPDATA%\MCPJira\mcp_jira\config.yaml (Note: %APPDATA% usually resolves to C:\Users\<username>\AppData\Roaming)

If the configuration file is not found at any of these locations, the server will automatically create the necessary directory (if it doesn't exist) and a template config.yaml file at the default OS-specific path. You will then need to edit this template with your actual JIRA site details.

Example of a filled-in config.yaml:

JIRA API Token

1. Log into your JIRA instance.
2. Go to Account Settings (usually by clicking your avatar/profile picture).
3. Navigate to Security > API token (the exact path might vary slightly depending on your JIRA version).
4. Click Create API token.
5. Give your token a descriptive label (e.g., mcp_jira_server_token).
6. Copy the generated token immediately. You will not be able to see it again.
7. Add the copied token to your config.yaml file.

Configuration Editor UI

This project includes a web-based configuration editor built with Streamlit to easily manage your config.yaml file.

Features

• View and edit all general settings (Server Name, Log Level, Default Site Alias).
• View, edit, add, and delete JIRA site configurations (Alias, URL, Email, API Token, Cloud status).
• Changes are saved directly to the config.yaml file used by the MCP server.
• The editor automatically uses the same configuration file path logic as the server itself (CLI override, environment variable, or OS-specific default).

Running the Editor

1. Ensure all project dependencies, including Streamlit, are installed:
   uv pip install -e .
2. From the root of the project directory, run:
   streamlit run mcp_jira/ui/app.py
   Or, if mcp_jira is installed in your environment and your PYTHONPATH is set up:
   PYTHONPATH=. streamlit run mcp_jira/ui/app.py
3. Open the URL provided by Streamlit in your web browser.

Screenshot

Usage

Running the MCP Server

Available Tools

This server exposes the following tools for interacting with JIRA:

create_jira_issue

Creates a new JIRA issue. You can specify the project, summary, a detailed description in markdown (which will be converted to JIRA's rich text format), issue type, assignee, and other custom fields.

update_jira_issue

Updates an existing JIRA issue. You can modify fields such as the summary, description (markdown supported), assignee, issue type, or other custom fields. Only the fields you provide will be changed.

Logging

The server logs activity to both stderr and a rotating log file.

Log File Locations: Log files are stored in OS-specific locations by default:

• macOS: ~/Library/Logs/mcp_jira/mcp_jira.log
• Linux:
  • If running as root: /var/log/mcp_jira/mcp_jira.log
  • If running as non-root: ~/.local/state/mcp_jira/mcp_jira.log
• Windows: %LOCALAPPDATA%\MCPJira\mcp_jira\Logs\mcp_jira.log (Note: %LOCALAPPDATA% usually resolves to C:\Users\<username>\AppData\Local)

Configuration: Logging behavior (level, file path, rotation settings) is configured via the config.yaml file. See the example config.yaml in the "Configuration" section for details on log_level, log_file_path, log_max_bytes, and log_backup_count.

The log level can also be overridden using the MCP_JIRA_LOG_LEVEL environment variable. If set, this environment variable takes precedence over the log_level in config.yaml.

Valid log levels: DEBUG, INFO (default if not specified), WARNING, ERROR, CRITICAL.

Requirements

• Python 3.11 or later (< 3.13)
• Operating Systems: Linux, macOS, Windows
• Network access to JIRA instance(s)
• Valid JIRA API token(s)

Development

See DEVELOPMENT.md for detailed development instructions, including:

• Setting up the development environment
• Running tests
• Contributing guidelines
• Architecture overview

Troubleshooting

Common Issues

Authentication Errors

• Verify API token is correct and hasn't expired
• Ensure email address matches JIRA account
• Check JIRA instance URL is accessible

Field Errors

• Use additional_fields for custom or optional fields
• Check field availability in your JIRA configuration
• Server gracefully ignores unavailable fields

Markdown Conversion Issues

• Ensure fenced code blocks use proper syntax
• Complex tables may need manual formatting
• Check logs for conversion warnings

Connection Issues

• Verify network connectivity to JIRA instance
• Check firewall/proxy settings
• Ensure JIRA REST API v3 is accessible

License

This project is licensed under the MIT License. See the LICENSE file for details.

Author

Coding the Future with AI

• GitHub: codingthefuturewithai
• Email: codingthefuturewithai@gmail.com