openEuler MCP Servers

A collection of MCP servers designed to enhance the interaction experience with the openEuler operating system.

MCP是Model Context Protocol的缩写，旨在提供一个通用的大模型上下文协议，用来调用各种应用，拓展大模型能力，openEuler的mcp-servers仓库用来存放各种MCP Server，聚焦于操作系统领域，结合Devstation，EulerCopilot改善openEuler交互体验

仓库目录带一个doc目录，用来存放整体的各类文档介绍，之后servers每个文件夹为一个独立的MCP Server

mcp-servers/ ├── servers │ ├── oeDeploys/ │ │ ├── mcp_config.json │ │ ├── mcp-rpm.yaml │ │ └── src/ │ │ ├── icon.png │ │ ├── mcp-oedp.py │ │ ├── readme.md │ │ └── requirements.txt │ ├── oeGitExt/ │ └── xxxxx/ ├── scripts/ └── doc/

其中doc中的MCP描述文档给出了 MCP Servers 的描述建议，用于提升MCP Servers的易用性

import subprocess from mcp.server.fastmcp import FastMCP mcp = FastMCP("查找openEuler社区的issue") @mcp.tool() def get_my_openeuler_issue() -> str: """统计我在openEuler社区所负责的issue""" try: # 执行oegitext命令并解析结果 result = subprocess.check_output(['oegitext', 'show', 'issue', '-p'], text=True, stderr=subprocess.STDOUT) return result except subprocess.CalledProcessError as e: return e except Exception as e: return e if __name__ == "__main__": # Initialize mcp.run()

打开DevStation预安装的vscodium软件，在插件市场里安装Roo Code（后续也可以使用EulerCopilot实现） 在设置当中配置大模型，我们使用的是DeepSeeK V3的API：

API提供商：OpenAI Compatible OpenAI基础URL：https://api.siliconflow.cn 密钥：对应的密钥 模型：Pro/deepseek-ai/DeepSeek-V3 #可以自己选择合适的模型

{ "mcpServers": { "oegitext_mcp": { "command": "/usr/bin/uv", "args": [ "--directory", "/home/xxx/oegitext_mcp", "run", "--python", "/usr/bin/python3", "oegitext_mcp.py" ], "disabled": false, "autoApprove": [], "alwaysAllow": [] }, } }

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