"Foundry Virtual Tabletop" matching MCP servers:

An MCP server for automating SAP BTP Cloud Foundry operations, providing tools for deploying, managing, and monitoring applications.

Enables interaction with Azure AI Foundry services through a unified interface for model exploration and deployment, knowledge indexing and search, AI evaluation, and fine-tuning operations. Supports both GitHub token-based model testing and full Azure deployment workflows.

Enables interaction with Azure AI Foundry services for model exploration, deployment, and performance evaluation. It provides tools for managing knowledge bases via AI Search Service, executing fine-tuning jobs, and orchestrating AI agents through natural language.

Enables interaction with Azure AI Foundry services including model exploration and deployment, knowledge management through AI Search, evaluation of text and agents, and fine-tuning operations. Provides unified access to Azure's AI capabilities through natural language commands.

VMware AVI Load Balancer (NSX Advanced Load Balancer) management plus AKO Kubernetes integration. 29 MCP tools across virtual services, pools, analytics, and AKO lifecycle, with double-confirmation gates and audit logging for destructive operations.

A read-only MCP server that bridges AI assistants to SAP Cloud ALM, exposing read APIs through four intent-based tools. It runs locally over stdio or remotely over Streamable HTTP, and can be deployed to SAP BTP Cloud Foundry.

Manages and views virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud). Enables AI assistants to list, inspect, and control VMs through a unified MCP interface.

Enables management of Proxmox VE virtual environments (VMs, containers, storage, snapshots, etc.) through natural language via MCP, with async task polling for reliable write operations.

Enables LLM agents to query and explore Cloudera Hive virtual warehouses through tools like list_databases, list_tables, describe_table, get_table_sample, and execute_query with read-only safety.

Provides tools for managing vcluster instances, enabling AI assistants to list, describe, create, delete, pause, resume, and execute commands inside virtual clusters.

Connects AI tools to BlazeMeter's Service Virtualization platform, enabling natural language management of virtual services, transactions, and configurations.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

MCP server wrapping the IBM Cloud CLI, providing 80+ tools for managing IBM Cloud resources including authentication, Kubernetes, Cloud Foundry, IAM, and billing.

A comprehensive MCP server providing 92 tools for managing Proxmox Virtual Environment, including QEMU VMs and LXC containers.

Enables AI assistants and MCP clients to manage Proxmox VE infrastructure, including virtual machines, containers, storage, networking, and high availability through a standardized interface.

A high-performance server that enables integration between Apache CloudStack infrastructure and AI assistants through the Model Context Protocol, providing comprehensive tools for managing virtual machines, storage, networking, and other cloud resources.

Enables management of Proxmox VE infrastructure through natural language, providing 120+ tools to control virtual machines, containers, storage, cluster resources, users, and network configurations via the Proxmox API.

Exposes 7 read-only MCP tools for Magalu Cloud products (block storage, virtual machines, Kubernetes, etc.) using authenticated mgc CLI commands, enabling natural language queries about cloud resources.

An MCP server that enables AI assistants to manage network infrastructure through the Equinix Fabric API, including ports, connections, and service profiles. It provides 22 tools for tasks like creating virtual connections, managing service tokens, and querying metro locations.

A Model Context Protocol (MCP) server for Proxmox Virtual Environment that enables AI assistants to manage virtual machines, containers, nodes, and resources through natural language interactions.