The Excellence
Directory Platform Template

A compliance-focused MCP server platform ideal for HIPAA-regulated and security-sensitive apps, offering production-ready infrastructure and robust security features.

Fly.io is an MCP server provider that enables running full-stack applications close to users worldwide, with auto-scaling, edge deployments, and Docker support. It is tailored for real-time and latency-sensitive MCP server use cases.

Koyeb is a serverless MCP server platform for running containerized apps and APIs, supporting auto-scaling, GitHub integration, and global edge deployments. It offers a free tier, making it accessible for both experimentation and production MCP workloads.

Qovery is an internal PaaS focused on DevOps workflows, offering a managed MCP server experience with built-in support for auto-scaling, multiple environments, integrated databases, and developer-friendly features for deploying microservices and APIs.

Railway provides a developer-friendly MCP server platform with automatic deployments, comprehensive Git integration, built-in databases, and robust scaling. It simplifies infrastructure management, making it easy to deploy, monitor, and secure MCP-based applications.

Render is a modern cloud platform for developers, offering managed MCP (Managed Cloud Platform) server solutions with features like one-click deployments, auto-scaling, GitHub/GitLab integration, built-in CDN, databases, and strong security. Ideal for quickly launching and scaling web apps on MCP infrastructure.

An MCP server facilitating interaction between large language models (LLMs) and the Heroku Platform, enabling automation and management through MCP endpoints. Directly relevant as an MCP server.

A Model Context Protocol server for managing Hetzner Cloud resources, including servers, volumes, firewalls, and SSH keys through structured MCP functions. Directly relevant as an MCP server.

An MCP server that integrates with Google Cloud Platform services, providing tools for interacting with Compute Engine, Cloud Storage, Cloud Functions, Cloud Run, BigQuery, and more via official libraries and robust error handling. Exemplifies a cloud-focused MCP server implementation.

An MCP server that enables natural language management of Apache CloudStack infrastructure, translating user requests into API calls for VM deployment, resource management, and infrastructure operations without requiring direct API knowledge. Directly relevant as an example of a specialized Model Context Protocol (MCP) server.

An MCP server for interacting with Google Cloud Tasks queues and tasks using natural language, allowing management and handling of tasks via Claude Desktop. Illustrates the use of MCP servers for cloud task automation.

An MCP server bridging to Firefly.ai's cloud infrastructure platform, enabling inventory queries and Terraform code generation for cloud resource discovery.