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arnstarn/mcp-server-spotinst

by Various

MCP server for Spot.io (Spotinst) API - Ocean clusters, VNGs, Elastigroups, costs, right-sizing across AWS and Azure

A

MCP

arnstarn/mcp-server-spotinst

Added 1 June 2026

Overview

An MCP server that exposes the Spot.io (Spotinst) API for managing Ocean clusters, VNGs, Elastigroups, costs, and right-sizing across AWS and Azure. It allows AI assistants or MCP-compatible clients to interact with Spot.io resources programmatically. Built in Python, it provides a standardized interface for cloud cost optimization and infrastructure automation.

Best for

Best for
Developers using MCP-based AI assistants to manage Spot.io cloud resources

Use cases

  • Query and manage Ocean clusters and Elastigroups via natural language
  • Retrieve cost and right-sizing recommendations for AWS and Azure
  • Automate Spot.io resource operations through MCP-compatible assistants

Notes

An MCP server that exposes the Spot.io (Spotinst) API for managing Ocean clusters, VNGs, Elastigroups, costs, and right-sizing across AWS and Azure. It allows AI assistants or MCP-compatible clients to interact with Spot.io resources programmatically. Built in Python, it provides a standardized interface for cloud cost optimization and infrastructure automation.

0 stars on GitHub. Last updated 2026-05-05. Licensed MIT.

Use cases

  • Query and manage Ocean clusters and Elastigroups via natural language
  • Retrieve cost and right-sizing recommendations for AWS and Azure
  • Automate Spot.io resource operations through MCP-compatible assistants

Pros

  • Direct integration with Spot.io API for multiple resource types
  • Enables natural language control of cloud infrastructure via MCP
  • Python-based, easy to extend or modify

Cons

  • Requires an MCP-compatible client or assistant to use
  • Zero stars and limited community adoption may indicate early stage
  • Depends on Spot.io API availability and authentication setup

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

Pros

  • Direct integration with Spot.io API for multiple resource types
  • Enables natural language control of cloud infrastructure via MCP
  • Python-based, easy to extend or modify

Cons

  • Requires an MCP-compatible client or assistant to use
  • Zero stars and limited community adoption may indicate early stage
  • Depends on Spot.io API availability and authentication setup
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