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Jira Prompts MCP Server

@ceshine

Repository

Basic information

Category

Version Control

License

MIT license

Transports

stdio

Author

ceshine

About Jira Prompts MCP Server

An MCP server that offers several commands for generating prompts or contexts from Jira content

Jira Prompts 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 Prompts MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

1

What are the runtime dependencies?

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

2

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.

3

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.

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