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AT

atlassian/atlassian-mcp-server

AI Agent

Official remote MCP server for Atlassian. Securely connect Jira, Confluence, Jira Service Management, Bitbucket, and Compass to Claude, ChatGPT, Cursor, VS Code, and other AI tools using OAuth 2.1 or API tokens.

878 星标114 复刻69 未解决 Issue878 关注者JavaScriptApache-2.0
AI AgentMCP ServerLLM ToolAI AppInfrastructure
来源与合规提示最近同步: Jul 21, 2026

Git-Stars 是独立产品,不隶属于 GitHub 或该项目。 分析可能由 AI 辅助生成,依据公开仓库元数据和 README 的短摘要。 我们不镜像完整 README、文档、Issue 或社媒评论。

原始 GitHub 来源方法论编辑政策
编辑评估

atlassian/atlassian-mcp-server 被追踪为 JavaScript 项目,主要属于 AI Agent, MCP Server, LLM Tool, AI App, Infrastructure 方向。这个评估结合公开 GitHub 元数据、分类信号、短来源摘要和 Git-Stars 编辑规则,而不是复制项目文档。

增长检查:该仓库目前有 878 Star,今日 +0,本周 +27,本月 +0。这些窗口用于区分持续采用信号和短期曝光峰值。

维护检查:当前活跃度为 活跃;最近一次推送距今 13 天,未关闭 Issue 为 69,约占总 Star 的 7.86%。这只是采用信号,不替代工程尽调。

采用检查:114 Fork 和 878 Watcher 反映项目被复用和关注的程度。许可证信号:Apache-2.0。商业或内部使用前请核验许可证兼容性。

适用判断:当你需要「AI 原型、LLM 工作流和 Agent 类应用」时,这个项目更值得评估;如果「需要法律审查、安全审计或生产 SLA 保证」,则需要谨慎。

来源检查:Git-Stars 当前为这份报告保留了 2 个明确来源引用,近期增长信号为 27。最终安装、安全和版本信息仍应以原始 GitHub 仓库为准。

适合场景
  • AI 原型、LLM 工作流和 Agent 类应用
  • 开发者工作流自动化和命令行工具
  • JavaScript 技术栈团队评估生态原生工具
  • 重视近期维护活跃度的使用场景
谨慎使用场景
  • 需要法律审查、安全审计或生产 SLA 保证
采用信号

热度

878 星标

复用

114 复刻

关注

878 关注者

维护

active

许可证

Apache-2.0

未解决 Issue

69

项目概述

The official Atlassian Rovo MCP Server is a cloud-hosted bridge that gives AI tools secure, real-time access to Jira, Confluence, Jira Service Management, Bitbucket, and Compass data using the Model Context Protocol.

Key Features

- Summarize and search Jira, Confluence, Jira Service Management, and Bitbucket content without switching tools. - Create and update issues or pages based on natural language commands. - Automate repetitive work like generating tickets from meeting notes or specs.

工具定位

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

MCP Server

Model Context Protocol servers, clients, and integrations

LLM Tool

Libraries and tools for LLM apps, RAG, prompts, and evals

AI App

End-user AI applications and AI-native product examples

Infrastructure

Cloud, deployment, networking, containers, and platform tooling

快速开始
Pick your AI client below to install the official Atlassian Rovo MCP Server.
在 GitHub 上查看 项目主页
项目活跃度

65

健康评分

活跃

提交活跃度

Aug 1, 2025

创建于

Jul 8, 2026

最近提交

来源轨迹

GitHub repository metadata

metadata

GitHub README

readme_summary

星标历史

+0

今日增长

+0

7天增长

+0

30天增长

Jul 21, 2026Jul 21, 2026
社区健康度
114

复刻

69

未解决

878

关注者

Owner
AT

atlassian

GitHub 主页
Topics & Language
JavaScriptaiai-agentsatlassianbitbucketchatgptclaudecompassconfluencecopilotcursordeveloper-toolsjirajira-service-managementllmmcpmcp-servermodel-context-protocoloauthrovovscode
生态与使用情况
GitHub Repository Project Website Search on npm
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许可证
Apache-2.0
创建于Aug 1, 2025
最近提交Jul 8, 2026
最近同步Jul 21, 2026
Community Standards

✓

License

✓

Forked

✓ Active

Maintained

AI 深度分析由 Git-Stars 分析

Problem Solved

It solves the problem of securely connecting AI agents to enterprise Atlassian data without exposing API keys or managing complex authentication flows. Unlike generic MCP servers, it provides a pre-built, Atlassian-maintained integration with OAuth 2.1 support, reducing development overhead for teams wanting AI-powered access to their project management and collaboration tools.

Capabilities

Developers can build AI assistants that query Jira issues, fetch Confluence pages, manage service desk tickets, browse Bitbucket repositories, and navigate Compass components. Real-world use cases include automated project status updates, AI-driven documentation search, incident response triage, and code review assistance. The ceiling is limited only by the Atlassian APIs—essentially any action available via the Atlassian REST APIs can be exposed to AI agents.

Bottom Line

This is ideal for teams already using Atlassian products who want to integrate AI agents for productivity. It should be avoided by those not using Atlassian or needing on-premise solutions. The key trade-off is convenience vs. dependency: you gain a secure, ready-made bridge but are locked into Atlassian Cloud and its API rate limits.

Full AI Analysis