Alibaba Cloud Ops MCP Server is the official Model Context Protocol server from Alibaba Cloud for operating cloud resources through an assistant. It bridges MCP clients to Alibaba Cloud OpenAPI and to the Operation Orchestration Service, which it uses for actions that need a managed workflow. Elastic Compute Service coverage is the broadest: instances can be created, started, stopped, rebooted and deleted, passwords reset, the operating system replaced, and commands run inside a running instance, while read-only tools list instances, regions, zones, available resource inventory, images and security groups. Virtual Private Cloud support lists VPCs and VSwitches. Relational Database Service tools list instances and start, stop and restart them. Object Storage Service tools list, create and delete buckets and inspect the objects inside one. Cloud Monitor tools return CPU usage, one-minute load average, memory usage and disk usage metrics for ECS instances. Beyond inspection and lifecycle control, the server can analyse a local project to identify its technology stack and deployment method, recognising npm, Python, Java, Go and Docker projects, and then deploy the application onto ECS instances, creating and managing the application and application group as needed. Supporting local file tools list directories, run shell scripts and examine project structure. A dynamic tool layer allows arbitrary Alibaba Cloud OpenAPI operations rather than only the curated set. It is written in Python and run with uvx, needing only an access key id and secret in the environment; the README documents a client entry with a raised timeout because some operations are slow. The server is listed in several marketplaces, including Qoder, Cursor, Cline, ModelScope, Lingma, Smithery and Alibaba Cloud Model Studio, and is aimed at operators who want conversational control of Alibaba Cloud infrastructure.
https://github.com/aliyun/alibaba-cloud-ops-mcp-server
Apache APISIX is a high-performance cloud-native API Gateway and AI Gateway that supports Model Context Protocol (MCP) integration through its mcp-bridge plugin, offering dynamic traffic management, security, and observability features.
AWS MCP Servers is a suite of specialized Model Context Protocol servers that integrate AWS best practices and resources into AI-powered development workflows to enhance cloud-native development and infrastructure management.
Webiny is an open-source, self-hosted headless CMS and framework, built on AWS serverless with AI-assisted development capabilities via an embedded MCP server, designed for large organizations.
MCP Registry is a community-driven centralized service offering a RESTful API for discovering, managing, and publishing Model Context Protocol (MCP) servers with MongoDB and Docker support.
Olares is an open-source personal cloud operating system that enables users to run local AI models and applications with personalized, context-aware AI interactions using a Model Context Protocol-like mechanism, providing a private and secure AI home server environment.
Cloudflare MCP Server is a suite of MCP servers that enable large language model clients to interact with and manage Cloudflare's cloud services through natural language commands, facilitating automation and insights across various domains.
mcp-grafana is an MCP server that provides comprehensive programmatic access to Grafana's dashboards, datasources, alerts, incidents, and on-call management features through MCP clients.
MCP Containers offers containerized versions of hundreds of MCP servers, enabling easy, secure, and up-to-date deployment of Model Context Protocol servers for AI integration and experimentation.