What are the runtime dependencies?
Python with the project’s dependencies installed via `uv sync`.
@ceshine
基本信息
An MCP server that offers several commands for generating prompts or contexts from Jira content
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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.
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.
pycontribs/jira library for Jira API interactionsjira-issue-brief and jira-issue-fullPython with the project’s dependencies installed via `uv sync`.
From your Jira instance, accessed via the Jira API using the provided base URL, username, and API token.
Authentication uses a Jira API token passed as a command-line argument. The server listens as an MCP server over stdio.

Model Context Protocol Servers
MCP server for Atlassian tools (Confluence, Jira)
A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow tra
Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.
A Git MCP server for AI agents. STDIO & Streamable HTTP.
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