
MCP JIRA Server
A Model Context Protocol server that enables AI assistants to create and manage JIRA issues with rich markdown formatting and automatic conversion to Atlassian Document Format.
README
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
# Clone the repository
git clone https://github.com/codingthefuturewithai/mcp_jira.git
cd mcp_jira
# Create and activate a virtual environment using UV
uv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install in development mode using UV
uv pip install -e .
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:
- The path specified by the
--config
command-line argument. - The path specified by the
MCP_JIRA_CONFIG_PATH
environment variable. - 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 toC:\Users\<username>\AppData\Roaming
)
- Linux:
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
:
name: "My Company JIRA Integration"
log_level: "INFO" # Supported levels: DEBUG, INFO, WARNING, ERROR, CRITICAL
default_site_alias: "prod_jira"
sites:
prod_jira:
url: "https://mycompany.atlassian.net"
email: "automation-user@mycompany.com"
api_token: "abc123xyz789efg_your_token_here_jkl"
cloud: true
dev_jira:
url: "https://dev-mycompany.atlassian.net"
email: "dev-automation@mycompany.com"
api_token: "another_token_for_dev_environment"
cloud: true
# Optional: Advanced logging configuration (defaults are usually sufficient)
# log_file_path: "/var/log/custom_mcp_jira/activity.log" # Overrides default log file paths
# log_max_bytes: 20971520 # Max log file size in bytes (e.g., 20MB)
# log_backup_count: 10 # Number of backup log files to keep
JIRA API Token
- Log into your JIRA instance.
- Go to Account Settings (usually by clicking your avatar/profile picture).
- Navigate to Security > API token (the exact path might vary slightly depending on your JIRA version).
- Click Create API token.
- Give your token a descriptive label (e.g.,
mcp_jira_server_token
). - Copy the generated token immediately. You will not be able to see it again.
- 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
- Ensure all project dependencies, including Streamlit, are installed:
uv pip install -e .
- From the root of the project directory, run:
Or, ifstreamlit run mcp_jira/ui/app.py
mcp_jira
is installed in your environment and yourPYTHONPATH
is set up:PYTHONPATH=. streamlit run mcp_jira/ui/app.py
- Open the URL provided by Streamlit in your web browser.
Screenshot
Usage
Running the MCP Server
# Run with stdio transport (default)
mcp_jira-server
# Run with SSE transport
mcp_jira-server --transport sse --port 3001
# Use custom configuration file
mcp_jira-server --config /path/to/config.yaml
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
- If running as root:
- Windows:
%LOCALAPPDATA%\MCPJira\mcp_jira\Logs\mcp_jira.log
(Note:%LOCALAPPDATA%
usually resolves toC:\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
.
# Example: Set log level to DEBUG for detailed API communication
MCP_JIRA_LOG_LEVEL=DEBUG mcp_jira-server
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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.