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Bring Your Agent

Live MCP Server

Connect your AI coding assistants and autonomous agents directly to the Compare Cloud Costs normalized catalog via the open Model Context Protocol (MCP). Query compute rates, model token pricing, and cross-cloud equivalencies inside Claude Desktop, Cursor IDE, VS Code, or Gemini CLI.

Ask Your AI Assistant Before You Provision

About to spin up an EC2 instance or configure a managed database cluster? Ask Claude, Cursor, or ChatGPT whether that same specification would be cheaper on Azure, Google Cloud, Oracle Cloud, or DigitalOcean—answered from our verified database of 26,000+ SKUs rather than outdated training data.

Generate MCP API Key View Setup Documentation →
Works with Claude, Cursor, VS Code & Gemini
Sourced from 26,000+ live normalized SKUs
Instant 1-click API key generation

How It Works

Connect your IDE or desktop assistant to the Compare Cloud Costs MCP server in three simple steps.

01.

Generate Your API Key

Visit the MCP Server page and generate your dedicated API key. Add the server snippet to your client configuration file.

Package: @comparecloudcosts/mcp-server
02.

Ask in Natural Language

Ask your assistant to benchmark a resource you are about to provision—or already run in Terraform—against equivalent options across 24 cloud and AI providers.

26,000+ SKUsView Freshness →
03.

Receive Verified Sourced Rates

Your assistant executes tools against our live database, returning verified rates, vCPU/RAM specs, bandwidth costs, and automated architectural trade-offs.

Protocol: Model Context Protocol (v1.0)

Core Capabilities

Empowering developers, cloud architects, and FinOps practitioners with real-time rate intelligence inside their IDE.

Authenticated & Secure

API key-authenticated JSON-RPC requests ensure reliable, rate-limited access to our catalog from any local or cloud-hosted AI client.

Assistant-Agnostic

Built on the open standard by Anthropic, enabling identical tool access across Claude, Cursor, Gemini, and custom agents without bespoke plugins.

Multi-Cloud Normalization

Normalized parameters (vCPU, memory, storage IOPS, token billing models) allow agents to perform true apples-to-apples cost arbitrage calculations.

Frequently Asked Questions

Common questions about configuring the Compare Cloud Costs MCP server in your local development environment.

Bring Your Agent connects conversational AI assistants—including Claude Desktop, Cursor IDE, Continue in VS Code, Google Gemini CLI, and OpenAI Custom GPTs—directly to the Compare Cloud Costs 26,000+ SKU dataset via the open Model Context Protocol (MCP). This enables your local coding agent to answer cross-cloud pricing and architectural questions in real time.
Data Notice: All prices returned via the MCP Server reflect publicly published, standard pay-as-you-go (on-demand) list pricing in USD. Enterprise discounts (EDP, CUD, MACC) and custom agreements should be evaluated alongside list benchmarks. See our Documentation and Terms of Use for detailed methodology.