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openEuler MCP Servers

by openeuler-mirror

The openEuler MCP Servers repository hosts various MCP Servers focused on the operating system domain. It aims to enhance the interactive experience of openEuler by integrating with Devstation and EulerCopilot, leveraging the Model Context Protocol (MCP) to extend large model capabilities.

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What is openEuler MCP Servers?

This repository contains various MCP Servers designed to extend the capabilities of large language models within the openEuler operating system environment. MCP provides a universal context protocol for calling various applications.

How to use openEuler MCP Servers?

MCP Servers can be used by configuring a compatible MCP client (e.g., EulerCopilot, Roo Code, Cline) with the server's configuration file. Alternatively, users can install MCP Servers directly using yum after the feature is released.

Key features of openEuler MCP Servers

  • Extends large model capabilities

  • Provides a universal context protocol

  • Focuses on operating system domain

  • Integrates with Devstation and EulerCopilot

Use cases of openEuler MCP Servers

  • Improving openEuler interactive experience

  • Calling various applications from large language models

  • Querying Gitee repositories and issues

  • Automating tasks within the openEuler environment

FAQ from openEuler MCP Servers

What is MCP?

MCP stands for Model Context Protocol, a universal protocol for large models to call various applications.

Where are the MCP Servers stored?

The MCP Servers are stored in the servers directory of this repository, with each server in its own subdirectory.

How do I install an MCP Server?

Currently, MCP Servers can be installed manually. In the future, they will be available as RPM packages for easy installation via yum.

How do I configure an MCP client to use an MCP Server?

You need to configure the MCP client with the MCP Server's configuration file (mcp_config.json) and ensure the client can access the server.

Can I create my own MCP Server?

Yes, you can create your own MCP Server using the provided Python SDK. The README provides a quick start guide.