JiraMCP
by goroskob · ai-ml · mcp-server, lobehub, developer
一个 Model Context Protocol (MCP) 服务器，封装了 jira-cli，以将 Jira 功能暴露给大型语言模型。需要在 .env 文件中配置 Jira 凭据的环境变量（例如 JIRA_API_TOKEN、JIRA_SERVER、JIRA_LOGIN）。
Source: https://github.com/goroskob/jiramcp
Install
git clone https://github.com/goroskob/jiramcpUse this forAI-extracted
- →Query Jira issues and tickets from within Claude to track project status
- →Update Jira issue status, assignees, and descriptions directly from AI workflows
- →Create new Jira tickets programmatically from AI-generated summaries or task lists
Works with
Tags: mcp-server, lobehub, developer
⭐ 35 GitHub stars · Source: lobehub
About ai-ml MCP servers and Claude skills
ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
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Frequently asked questions
How do I install JiraMCP?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support JiraMCP?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is JiraMCP free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.