alibaba-cloud-ops-mcp-server

alibaba-cloud-ops-mcp-server

MCP-compliant server enabling seamless AI-powered operations on Alibaba Cloud resources.

View on GitHub
72
Stars
19
Forks
72
Watchers
6
Issues
Alibaba Cloud Ops MCP Server is an open-source implementation of the Model Context Protocol (MCP), designed for integrating AI assistants with Alibaba Cloud APIs. It enables automated operations on cloud resources such as ECS, RDS, VPC, OSS, and Cloud Monitor, supporting multiple cloud management tasks. The server provides out-of-the-box compatibility with popular MCP clients and various ecosystem platforms, and offers extensive tooling for resource management, monitoring, and automation. It is integrated with leading marketplaces and designed to be easily configured and extended.

Key Features

Full compliance with Model Context Protocol (MCP)
Integration with Alibaba Cloud APIs for core services (ECS, RDS, VPC, OSS, Cloud Monitor)
Extensive command set for provisioning, managing, and monitoring cloud resources
Out-of-the-box support for popular MCP clients and development platforms
Configurable access using environment variables and standardized configuration files
Support for automation and orchestration through predefined tools
Marketplace integration with Cline, Cursor, ModelScope, Lingma, and others
Detailed tool mapping for each supported Alibaba Cloud service and operation
Documentation and examples for fast setup and usage
Active support through user groups and community channels

Use Cases

Automating Alibaba Cloud resource provisioning and management via AI assistants
Integrating cloud infrastructure operations within conversational AI workflows
Monitoring and reacting to cloud service metrics through AI-driven protocols
Centralizing cloud resource orchestration for managed service providers
Building intelligent DevOps workflows using MCP-compatible clients
Streamlining large-scale cloud resource deployment with standardized interface
Enabling platform teams to expose cloud automation to user-friendly interfaces
Rapid prototyping of cloud automation solutions with minimal configuration
Leveraging MCP ecosystem for plug-and-play AI operations tooling
Extending AI assistants with secure, auditable access to cloud operations

README

Alibaba Cloud Ops MCP Server

GitHub stars

中文版本

Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operation resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS andother widely used cloud products.

Prepare

Install uv

bash
# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh

Configuration

Use VS Code + Cline to config MCP Server.

To use alibaba-cloud-ops-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-ops-mcp-server": {
      "timeout": 600,
      "command": "uvx",
      "args": [
        "alibaba-cloud-ops-mcp-server@latest"
      ],
      "env": {
        "ALIBABA_CLOUD_ACCESS_KEY_ID": "Your Access Key ID",
        "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "Your Access Key SECRET"
      }
    }
  }
}

For detailed parameter description, see MCP startup parameter document

MCP Maketplace Integration

Know More

Tools

Product Tool Function Implematation Status
ECS RunCommand Run Command OOS Done
StartInstances Start Instances OOS Done
StopInstances Stop Instances OOS Done
RebootInstances Reboot Instances OOS Done
DescribeInstances View Instances API Done
DescribeRegions View Regions API Done
DescribeZones View Zones API Done
DescribeAvailableResource View Resource Inventory API Done
DescribeImages View Images API Done
DescribeSecurityGroups View Security Groups API Done
RunInstances Create Instances OOS Done
DeleteInstances Delete Instances API Done
ResetPassword Modify Password OOS Done
ReplaceSystemDisk Replace Operating System OOS Done
VPC DescribeVpcs View VPCs API Done
DescribeVSwitches View VSwitches API Done
RDS DescribeDBInstances List RDS Instances API Done
StartDBInstances Start the RDS instance OOS Done
StopDBInstances Stop the RDS instance OOS Done
RestartDBInstances Restart the RDS instance OOS Done
OSS ListBuckets List Bucket API Done
PutBucket Create Bucket API Done
DeleteBucket Delete Bucket API Done
ListObjects View object information in the bucket API Done
CloudMonitor GetCpuUsageData Get CPU Usage Data for ECS Instances API Done
GetCpuLoadavgData Get CPU One-Minute Average Load Metric Data API Done
GetCpuloadavg5mData Get CPU Five-Minute Average Load Metric Data API Done
GetCpuloadavg15mData Get CPU Fifteen-Minute Average Load Metric Data API Done
GetMemUsedData Get Memory Usage Metric Data API Done
GetMemUsageData Get Memory Utilization Metric Data API Done
GetDiskUsageData Get Disk Utilization Metric Data API Done
GetDiskTotalData Get Total Disk Partition Capacity Metric Data API Done
GetDiskUsedData Get Disk Partition Usage Metric Data API Done

Contact us

If you have any questions, please join the Alibaba Cloud Ops MCP discussion group (DingTalk group: 113455011677) for discussion.

Star History

Star History Chart

Repository Owner

aliyun
aliyun

Organization

Repository Details

Language Python
Default Branch master
Size 830 KB
Contributors 4
License Apache License 2.0
MCP Verified Sep 5, 2025

Programming Languages

Python
99.55%
Dockerfile
0.45%

Topics

alibabacloud cloudops llm mcp

Join Our Newsletter

Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.

We respect your privacy. Unsubscribe at any time.

Related MCPs

Discover similar Model Context Protocol servers

  • awslabs/mcp

    awslabs/mcp

    Specialized MCP servers for seamless AWS integration in AI and development environments.

    AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

    • ⭐ 6,220
    • MCP
    • awslabs/mcp
  • cloudflare/mcp-server-cloudflare

    cloudflare/mcp-server-cloudflare

    Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

    Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

    • ⭐ 2,919
    • MCP
    • cloudflare/mcp-server-cloudflare
  • mcpmcp-server

    mcpmcp-server

    Seamlessly discover, set up, and integrate MCP servers with AI clients.

    mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

    • ⭐ 17
    • MCP
    • glenngillen/mcpmcp-server
  • mcp-server-templates

    mcp-server-templates

    Deploy Model Context Protocol servers instantly with zero configuration.

    MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

    • ⭐ 5
    • MCP
    • Data-Everything/mcp-server-templates
  • 1mcp-app/agent

    1mcp-app/agent

    A unified server that aggregates and manages multiple Model Context Protocol servers.

    1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

    • ⭐ 96
    • MCP
    • 1mcp-app/agent
    • View all Alternatives

    Didn't find tool you were looking for?

    Be as detailed as possible for better results