A Model Context Protocol server providing tools for Huawei Cloud
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# mcp-server [](https://github.com/manusa/kubernetes-mcp-server/blob/main/LICENSE) [](https://github.com/HuaweiCloudDeveloper/mcp-server/actions/workflows/ci.yaml) [](https://github.com/HuaweiCloudDeveloper/mcp-server/pulls) [](https://github.com/HuaweiCloudDeveloper/mcp-server/commits/main) [](https://github.com/HuaweiCloudDeveloper/mcp-server) [简体中文](./README_zh.md) Huawei MCP Server is a Model Context Protocol server built on Huawei Cloud services, providing secure and controlled cloud access capabilities for large AI models. Through standardized MCP specifications, it enables AI assistants to operate Huawei Cloud resources within conversational workflows, supporting core services including ECS, OBS, GaussDB, and other widely-used cloud products. ## Mcp-server catalog - [Practical documents](#Practical-documents) - [Demo](#Demo) - [Running Guide](#Running-Guide) - [Tools list](#Tools) - [Contributing](#Contributing) ## Practical documents - [Using DAS MCP to implement database conversational operation and maintenance](https://support.huaweicloud.com/bestpractice-das/das_best_practice_01_0017.html) ## Demo [Demo1](https://github.com/user-attachments/assets/df2c2993-42ec-4f7e-8631-29c44c58fcbd) Cline uses Huawei Cloud EIP MCP Server to create and delete EIP instances. ## Running Guide ### 1. Dependency Installation Install the Python environment in advance. Since Python 3.4 and 2.7.9, pip has been installed with Python as a standard component. - Install [uv](https://docs.astral.sh/uv/getting-started/installation/) (Recommended) - Ins…
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