Alibaba Cloud MCP Server

# Alibaba Cloud Application Management MCP Server [](https://github.com/aliyun/alibaba-cloud-ops-mcp-server) [中文版本](README_zh.md) Alibaba Cloud Application Management MCP Server is a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) server that provides seamless integration with Alibaba Cloud Application Management services, enabling AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances. ## Features - **Application Deployment**: Deploy applications to ECS instances with automatic application and application group management - **Project Analysis**: Automatically identify project technology stack and deployment methods (npm, Python, Java, Go, Docker, etc.) - **Environment Installation**: Install deployment environments (Docker, Java, Python, Node.js, Go, Nginx, Git) on ECS instances - **Deployment Management**: Query deployment status and retrieve last deployment information - **OSS Integration**: Upload deployment artifacts to OSS buckets - **Local File Operations**: List directories, run shell scripts, and analyze project structures - **Dynamic API Tools**: Support for Alibaba Cloud OpenAPI operations ## Prepare Install [uv](https://github.com/astral-sh/uv) ```bash # On macOS and Linux. curl -LsSf https://astral.sh/uv/install.sh | sh ``` ## Configuration Use [VS Code](https://code.visualstudio.com/) + [Cline](https://cline.bot/) to config MCP Server. To use `alibaba-cloud-application-management-mcp-server` MCP Server with any other MCP Client, you can manually add this configuration and restart for changes to take effect: ```json { "mcpServers": { "alibaba-cloud-application-management-mcp-server": { "timeout": 600, "command": "uvx", "args": [ "alibaba-cloud-application-management-mcp-server@latest" ], "env": { "ALIBABA_CLOUD_ACCESS_KEY_ID": "Your Access Key ID", "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "Your Access Key SECRET" } } } } ``` ## Tools ### Application Management Tools | **Tool** | **Function** | **Status** | | --- | --- | --- | | CodeDeploy | Deploy applications to ECS instances with automatic artifact upload to OSS | Done | | GetDeployStatus | Query deployment status of application groups | Done | | GetLastDeploymentInfo | Retrieve information about the last deployment | Done | ### Local Tools | **Tool** | **Function** | **Status** | | --- | --- | --- | | ListDirectory | List files and subdirectories in a directory | Done | | RunShellScript | Execute shell scripts or commands | Done | | AnalyzeDeployStack | Identify project deployment methods and technology stack | Done | ### OOS Tools | **Tool** | **Function** | **Status** | | --- | --- | --- | | InstallDeploymentEnvironment | Install deployment environments (Docker, Java, Python, Node.js, Go, Nginx, Git) on ECS instances | Done | | ListExecutions | Query OOS execution status by execution ID | Done | ## Deployment Workflow The typical deployment workflow includes: 1. **Project Analysis**: Use `AnalyzeDeployStack` to identify the project's technology stack and deployment method 2. **Build Artifacts**: Build or package the application locally (e.g., create tar.gz or zip files) 3. **Deploy Application**: Use `CodeDeploy` to deploy the application to ECS instances - Automatically creates application and application group if they don't exist - Uploads artifacts to OSS - Deploys to specified ECS instances 4. **Install Environment** (Optional): Use `InstallDeploymentEnvironment` to install required runtime environments on ECS instances 5. **Monitor Deployment**: Use `GetDeployStatus` to check deployment status ## Contact us If you have any questions, please join the [Alibaba Cloud Ops MCP discussion group](https://qr.dingtalk.com/action/joingroup?code=v1,k1,iFxYG4jjLVh1jfmNAkkclji7CN5DSIdT+jvFsLyI60I=&_dt_no_comment=1&origin=11) (DingTalk group: 113455011677) for discussion. <img src="../alibaba_cloud_ops_mcp_server/image/Alibaba-Cloud-Ops-MCP-User-Group-en.png" width="500">