Jira Prompts MCP Server

What is Jira Prompts MCP Server?

Jira Prompts MCP Server is a Model Context Protocol (MCP) server that provides prompts for retrieving context from Jira content. It focuses on generating prompts rather than tools, making it especially useful for AI assistants like Zed that support only MCP prompts.

How to use Jira Prompts MCP Server?

Install by cloning the repository and running uv sync --frozen. Configure it as an MCP server in your editor (e.g., Zed) by adding a context server definition to settings.json that runs jira-prompts-mcp-server with three arguments: your Jira base URL, your Jira username, and a Jira API token. Once configured, use commands like /jira-issue-brief <issue-key> or /jira-issue-full <issue-key> to retrieve issue information.

Key features of Jira Prompts MCP Server

• Uses the pycontribs/jira library for Jira API interactions
• Provides two prompt commands: jira-issue-brief and jira-issue-full
• Returns core fields, comments, linked issues, and subtasks
• Designed to work with editors that only support MCP prompts
• Different from mcp-atlassian: focuses on prompts, not tools

Use cases of Jira Prompts MCP Server

• Quickly retrieve a Jira issue's key details in an AI assistant
• Get a full context including comments and linked issues
• Integrate Jira issue data into an editing workflow that supports MCP prompts

FAQ from Jira Prompts MCP Server

What alternatives does Jira Prompts MCP Server compare to?

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What are the runtime dependencies?

Python with the project’s dependencies installed via uv sync.

Where does the issue data come from?

From your Jira instance, accessed via the Jira API using the provided base URL, username, and API token.

What transports or authentication does it support?

Authentication uses a Jira API token passed as a command-line argument. The server listens as an MCP server over stdio.