Jira MCP Server
@fkesheh
About Jira MCP Server
An MCP server compatible with Jira V2 and V3 api and custom fields
Config
No standard config provided
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Overview
What is Jira MCP Server?
Jira MCP Server is an enhanced Model Context Protocol (MCP) server that enables AI assistants like Claude to interact directly with a Jira instance for project management tasks. It is intended for users of Claude Desktop or other MCP-compatible AI assistants.
How to use Jira MCP Server?
Install by cloning the repository, installing dependencies with npm install, and setting environment variables (JIRA_HOST, JIRA_EMAIL, JIRA_API_TOKEN) in a .env file. Build with npm run build, start with npm start. Then add the server to Claude Desktopβs configuration file (located at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS) with the appropriate command and environment variables.
Key features of Jira MCP Server
- Full Jira API integration for comprehensive access
- Enhanced Markdown to Atlassian Document Format conversion
- Input validation using Zod schemas
- Improved error handling with detailed messages
- Custom Jira field configuration support
- Advanced workflow and status transition management
- Bulk issue operations (updates, deletions)
- Granular label and component management (add, remove, replace)
- Configurable logging via LOG_LEVEL environment variable
Use cases of Jira MCP Server
- Retrieve project information and list issue types
- Create and update issues and subtasks with custom fields
- Manage issue workflows with status transitions
- Add comments with formatting and visibility restrictions
- Perform bulk updates, deletions, and label/component modifications
- Link issues and manage dependencies
FAQ from Jira MCP Server
What are the prerequisites to use Jira MCP Server?
Node.js 18 or higher, a Jira Cloud or Server instance, and a Jira API token (for Cloud) or username/password (for Server). Claude Desktop or another MCP-compatible AI assistant is also required.
How do I configure custom Jira fields?
Add custom field IDs (e.g., customfield_10001) to the JIRA_CUSTOM_FIELDS environment variable, then use the customFields parameter in requests with appropriate value formats (text, select, user, multi-select, date).
Where is the Claude Desktop configuration file located?
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json. Windows: %APPDATA%/Claude/claude_desktop_config.json. Linux: ~/.config/Claude/claude_desktop_config.json.
What logging levels are available?
LOG_LEVEL can be set to debug, info, warn, or error. Default is info.
How does error handling work?
The server provides detailed error messages for invalid parameters,
Frequently asked questions
What are the prerequisites to use Jira MCP Server?
Node.js 18 or higher, a Jira Cloud or Server instance, and a Jira API token (for Cloud) or username/password (for Server). Claude Desktop or another MCP-compatible AI assistant is also required.
How do I configure custom Jira fields?
Add custom field IDs (e.g., `customfield_10001`) to the `JIRA_CUSTOM_FIELDS` environment variable, then use the `customFields` parameter in requests with appropriate value formats (text, select, user, multi-select, date).
Where is the Claude Desktop configuration file located?
macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`. Windows: `%APPDATA%/Claude/claude_desktop_config.json`. Linux: `~/.config/Claude/claude_desktop_config.json`.
What logging levels are available?
`LOG_LEVEL` can be set to `debug`, `info`, `warn`, or `error`. Default is `info`.
How does error handling work?
The server provides detailed error messages for invalid parameters,
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