OpenSumi is a framework that helps quickly build AI - native IDE products. It supports cloud and desktop development environments and provides rich example projects and templates.

MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.

Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.

This is a continuously updated curated list of MCP servers, covering multiple categories such as browser control, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, and utilities. Each project comes with a GitHub link and the number of stars, making it easy for users to quickly understand and use.

Changesets is a build tool for managing versions and releases in multi - package or single - package repositories.

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.

Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.

The HOPX MCP server is a service based on the model context protocol that allows AI assistants to execute Python, JavaScript, Bash, and Go code in isolated cloud containers, supporting data analysis and file operations.

The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

This project demonstrates an SSE-based implementation mode of the MCP server and client, allowing agents (clients) to connect and use the tools provided by the server at any time, suitable for cloud-native scenarios.

The AI Infrastructure Agent is an intelligent system that allows users to manage AWS cloud resources through natural language commands. It uses AI models to convert user requirements into executable AWS operations and provides web dashboards, state management, and security protection functions.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

n8n is a workflow automation platform for technical teams, combining code flexibility and no - code speed, offering over 400 integrations, native AI capabilities, and fair - code licensing, supporting self - hosting or cloud deployment.

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.

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

Qiniu Cloud Storage File Upload Service

A serverless YouTube subtitle extraction service based on Cloudflare Workers, using the MCP protocol to achieve high - performance AI assistant integration

DuckDB MCP Server is a service that implements the Model Context Protocol (MCP), enabling AI assistants to interact with the DuckDB database via SQL, supporting queries from multiple data sources and cloud storage access.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function, supporting connection and use through the MCP Inspector and Claude desktop client.

The Gemini Cloud Assist MCP server is a tool that connects MCP clients with the Google Cloud Gemini Cloud Assist API, allowing users to understand, manage, and troubleshoot Google Cloud environment issues using natural language.

A comprehensive MCP server that provides machine learning model training, fine-tuning, and experiment management functions, supporting multi-backend training, cloud GPU deployment, and cost estimation.

A Tesla vehicle control MCP server based on the Tessie API, supporting both local Node.js and Cloudflare Workers runtimes, providing vehicle status query and remote control functions.

A tool for querying AWS cloud spending through the MCP protocol, integrating the Claude model to provide a natural language interaction interface.

This project includes multiple GitHub Actions workflows for automated deployment and image publishing, including core service building and deployment, runner image building, and template synchronization to cloud storage.

This project uses Playwright for automated browser testing and is integrated and deployed with Cloudflare Workers, Browser Rendering, and @cloudflare/playwright, supporting web page interaction operations through an AI assistant.

This project demonstrates a real-time multi-tool agent architecture based on LangGraph and the MCP protocol. By decoupling agent orchestration and tool execution, it realizes a modular and scalable AI system. The MCP service supports multiple transport protocols (SSE/STDIO), allows AI agents to dynamically call remote tools, and has cross-language and cloud deployment capabilities.

The Alibaba Cloud Operation and Maintenance MCP Server project provides a variety of cloud product operation tools, including functions such as starting, stopping, and querying services like ECS, VPC, RDS, and OSS, and supports automated operation and maintenance through API and OOS.

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

The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

The Xray MCP Server is a tool that integrates the Xray Cloud API with MCP clients such as Claude Code. It provides functions such as test case management, test execution, test planning, and test set grouping, and supports CI/CD integration and test automation.

An MCP server that generates images through the Replicate FLUX model and stores them in Cloudflare R2

The Vantage MCP Server is an open-source tool that helps users query and analyze cloud cost data through natural language interaction. It serves as a bridge between the Vantage API and AI assistants, providing intuitive cost analysis capabilities and supporting integration with multiple MCP clients.

The Eyevinn Open Source Cloud MCP Server provides web services such as databases, storage, and VOD processing pipelines based on open source technologies, avoiding vendor lock-in and supporting revenue sharing for creators.

The Nextcloud MCP Server is a tool rewritten in TypeScript that allows large language models to interact with Nextcloud instances through the Model Context Protocol. It supports 30 operations such as notes, calendars, contacts, spreadsheets, and files, and especially provides a revolutionary unified file search function. It supports one - click cloud deployment on Smithery.

A lightweight server based on the Model Context Protocol (MCP), designed for image processing and cloud upload, supporting resizing, conversion, optimization, and uploading to multiple cloud storage services, suitable for AI assistants and automated workflows.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connection and use through the MCP Inspector and Claude desktop client.

The Qiniu Cloud MCP service is a model context protocol server built on Qiniu Cloud products, supporting AI large model clients to access Qiniu Cloud storage, intelligent multimedia services, and CDN functions.

An implementation of the MCP server based on the Duannao Cloud Flux model API, providing AI capabilities and supporting Claude Desktop integration.

This is an MCP server developed for the Cursor cloud agent API, which allows AI assistants to create and manage cloud agent tasks on GitHub repositories, providing functions such as task creation, status monitoring, and viewing conversation history.

A self-service GCP audit toolkit that uses MCP technology to automatically generate resource reports and improve cloud environment management efficiency