Best 441 Cloud platform Tools in 2025

The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

A Kubernetes cluster management server based on the MCP protocol, supporting interaction with the Kubernetes cluster through the command line or chat interface, providing functions such as resource management and Helm chart operations.

Solon is an efficient, open, and eco - friendly Java enterprise application development framework that supports all - scenario development. It features high performance, low memory consumption, fast startup, and small - volume packaging. It is compatible with Java 8 to Java 24 and the GraalVM native runtime.

An MCP server based on Kubernetes for managing and operating Kubernetes clusters

EdgeOne Pages MCP is a service that quickly deploys HTML content to EdgeOne Pages via the MCP protocol and obtains a public URL

The Azure MCP Server is a server that implements the MCP protocol, providing seamless connection between AI agents and Azure services (such as Storage and Cosmos DB), and supporting the conversion of natural language commands into Azure operations.

The Kubectl MCP Tool is a Kubernetes interaction tool based on the Model Context Protocol (MCP), allowing AI assistants to interact with Kubernetes clusters using natural language.

An MCP server based on Golang for connecting to Kubernetes clusters, providing resource query and operation functions.

AWS MCP is a service based on the Model Context Protocol that allows querying and managing AWS resources through natural language, similar to an alternative to Amazon Q.

AWS MCP is an AI assistant service that queries and manages AWS resources through natural language, supporting multi - account, multi - region, and secure credential management.

Lokka is a server based on the Model - Context - Protocol (MCP) for querying and managing Azure and Microsoft 365 tenants by operating Microsoft Graph and Azure RM APIs through natural language.

The AWS MCP Server is a lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), providing functions for querying AWS CLI documentation and executing commands.

The AWS MCP Server is a server implementation based on the Model Context Protocol that supports operations on AWS's S3 and DynamoDB services. All operations are automatically recorded and can be audited.

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

The JFrog MCP Server is an experimental project that provides model context protocol services for the JFrog platform API, supporting functions such as repository management, build tracking, and release lifecycle management.

Kom is a Kubernetes operation management tool that provides functions such as multi-cluster management, resource creation, deletion, update, and query, Pod operations, and SQL queries. It supports CRD and built-in resource operations, simplifying the daily operation and maintenance of k8s.

An implementation of the MCP Server for Azure DevOps, providing a standardized protocol for AI assistants to access the Azure DevOps API

This project runs Model Context Protocol (MCP) stdio servers through AWS Lambda functions, enabling the invocation of MCP servers in distributed systems.

A tool for querying AWS cost data and Bedrock usage logs via the MCP protocol

MCP2Lambda is an MCP server that allows AWS Lambda functions to be used as tools for large language models (LLMs) without modifying the code. It builds a bridge between AI models and Lambda functions through the Model Context Protocol (MCP), enabling models to access private resources and perform custom operations.

The 1Panel MCP Server is an implementation of the model context protocol server designed for 1Panel.

The Kubernetes MCP Server is a powerful implementation of the Kubernetes model context protocol, supporting operations on Kubernetes and OpenShift clusters. It can perform various resource management tasks without relying on external tools.

This project is an MCP server for deploying code to Google Cloud Run, supporting deployment through AI agents, IDEs, and assistant applications.

An MCP server that provides tools for interacting with the Terraform Registry API

The Heroku Platform MCP Server is a service designed for large language models, providing the ability to interact with Heroku platform resources.

An MCP server based on the JavaScript SDK, integrating Clever Cloud tools

The Kong Konnect MCP server is a Model Context Protocol service for interacting with Kong Konnect APIs, enabling AI assistants to query and analyze Kong gateway configuration, traffic, and statistics data.

The Azure Impact Reporting MCP Server is a tool that allows large language models to automatically parse user requests and submit reports on Azure resource issues. It supports multiple impact categories and automatically handles authentication and parameter extraction.

Aiven's MCP server project provides access to services such as PostgreSQL and Kafka in the Aiven ecosystem, enabling LLMs to build full - stack solutions. It includes tools such as project lists and service details, and supports connection configuration through environment variables.