Jira MCP Server

@fkesheh

Repository

Basic information

About Jira MCP Server

An MCP server compatible with Jira V2 and V3 api and custom fields

#jira #mcp-server #project-management

Jira MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Jira MCP Server tools

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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 Desktop’s 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

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,

Comments

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