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.
@fkesheh
基本信息
An MCP server compatible with Jira V2 and V3 api and custom fields
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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.
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.
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.
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).
macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`. Windows: `%APPDATA%/Claude/claude_desktop_config.json`. Linux: `~/.config/Claude/claude_desktop_config.json`.
`LOG_LEVEL` can be set to `debug`, `info`, `warn`, or `error`. Default is `info`.
The server provides detailed error messages for invalid parameters,
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