Cloud Platforms
Servers integrating with various cloud services and infrastructure providers, including management and operations for Cloudflare, AWS, Kubernetes, and other platforms.
Integrate AI models with Aiven services using the `mcp-aiven` server. Build full-stack AI solutions with secure access to your Aiven data.
Convex Backend: Open-source reactive database for AI-driven web apps with real-time updates and TypeScript support.
Supabase MCP Server: Programmatic access to Supabase for AI models via a standardized MCP interface. Manage projects and organizations easily.
Firefly MCP: Seamlessly integrate AI models with cloud resources. Discover, manage, and codify with ease.
Higress OPS MCP Server: Manages Higress config via MCP, enabling seamless AI model integration and automated configuration.
Integrate Google Drive with AI models using this MCP server for listing, reading, and searching files.
mcp-server-azure-devops: An MCP server enabling AI to interact with Azure DevOps for streamlined DevOps workflows and enhanced automation.
Integrate Amazon Bedrock's Nova Canvas with MCP for AI image generation. Generate high-quality images from text prompts.
actors-mcp-server: An MCP server connecting AI models to Apify Actors for web scraping, data extraction, and more.
MCP-Connect: Bridge cloud AI with local MCP servers via HTTP. Secure, flexible, and easy to use.
k8m: An AI-driven Kubernetes dashboard and MCP Server. Simplify cluster management with integrated AI and empower LLMs via 49+ built-in MCP tools for secure, multi-cluster Kubernetes operations.
`mcp-k8s` is an **MCP Server** enabling AI models like LLMs to interact with **Kubernetes** clusters. It bridges the gap, allowing you to query and manage K8s resources using the standardized **MCP protocol** via natural language or automated workflows.