"Integration between MCP and Emarsys with SAP" matching MCP servers:

An MCP server that lets AI agents run PHP unit and integration tests inside Docker containers without local PHP or Composer.

A Model Context Protocol server that provides integration with the Coolify API, enabling DevOps teams to manage Coolify deployments, applications, services, and servers through MCP tools.

Enables AI tools to manage containerized applications through Podman, supporting container lifecycle operations, command execution, log viewing, image management, and resource monitoring. Features automatic network discovery for seamless integration with MCP Discovery Hub.

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 AI agents to operate disposable Linux computers via MCP, providing tools for shell, file read/write, directory listing, and port exposure. It also supports browser automation and integration with any MCP-compatible client.

Enables AI assistants to manage cloud infrastructure through natural language by providing a unified interface to the Dokploy platform. Supports Docker containers, applications, databases, domains, monitoring, and deployment operations through conversational commands.

MCP server for interacting with QUADS infrastructure systems via API, enabling resource management and automation through LLM applications.

Free, cross-platform VM orchestration for AI workflows with built-in MCP integration, sandboxed code execution, and compliance-ready architecture (SOC 1/2/3, HIPAA, ISO 27001).

vnc-mcp allows MCP-compatible LLMs to interact with any desktop accessible over VNC

A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.

An MCP server for interacting with Azure. Contains some common Compute and Networking actions, and extensible to add many more.

Read-only MCP server for querying official dental professional registry data from the Regional Council of Dentistry of Maranhão, Brazil. Enables natural-language lookups via a single consult tool.

Facilitates isolated code execution within Docker containers, enabling secure multi-language script execution and integration with language models like Claude via the Model Context Protocol.

A configurable server implementation that provides MCP (Model-Controller-Protocol) functionality, supporting both Node.js and Docker environments with automated setup and configuration options.

Enables AI assistants to manage Docker containers, images, networks, volumes, and Compose services through the Model Context Protocol. It supports system operations, command execution within containers, and integration with Docker Hub and GitHub Container Registry.

A production-ready Model Context Protocol (MCP) server that provides comprehensive DockerHub integration for AI assistants. This server enables AI assistants to search, analyze, and manage Docker images through standardized MCP tools.

A template repository for creating MCP servers that can be easily containerized and used with MCP clients.

A powerful integration server that combines Netbox's network infrastructure management capabilities with MCP (Multi-Cloud Platform) functionality.

Enables integration of Rancher with GenAI applications, providing comprehensive API coverage for Kubernetes management.

Enables deployment and management of GPU workloads across multiple cloud providers (RunPod, Vast.ai) with intelligent GPU selection, resource monitoring, and telemetry tracking through Redis, ClickHouse, and SkyPilot integration.