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ionos-cloud/ionoscloud-mcp

by Various

This project implements an MCP server to interact with ionos cloud resources.

I

MCP

ionos-cloud/ionoscloud-mcp

Added 11 June 2026

#mcp #mcp-server #model-context-protocol

Overview

An MCP server written in Go that enables programmatic interaction with IONOS cloud resources. It exposes cloud management operations through the Model Context Protocol for use with compatible AI agents and tools.

Best for

Best for
Developers using IONOS cloud who want to manage resources through MCP-compatible AI assistants or automation tools.

Use cases

  • Automate provisioning and management of IONOS cloud infrastructure via MCP clients
  • Integrate IONOS resource operations into AI agent workflows
  • Script cloud resource lifecycle tasks using Go-based MCP server

Notes

An MCP server written in Go that enables programmatic interaction with IONOS cloud resources. It exposes cloud management operations through the Model Context Protocol for use with compatible AI agents and tools.

5 stars on GitHub. Last updated 2026-06-11. Licensed Apache-2.0.

Use cases

  • Automate provisioning and management of IONOS cloud infrastructure via MCP clients
  • Integrate IONOS resource operations into AI agent workflows
  • Script cloud resource lifecycle tasks using Go-based MCP server

Pros

  • Lightweight Go implementation with minimal dependencies
  • Standard MCP protocol enables broad client compatibility
  • Directly targets IONOS cloud without third-party wrappers

Cons

  • Limited to IONOS cloud ecosystem only
  • Small community and low star count indicate early-stage project
  • Documentation and examples may be sparse

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight Go implementation with minimal dependencies
  • Standard MCP protocol enables broad client compatibility
  • Directly targets IONOS cloud without third-party wrappers

Cons

  • Limited to IONOS cloud ecosystem only
  • Small community and low star count indicate early-stage project
  • Documentation and examples may be sparse