CloudXray AI FinOps Directory

Name: CloudXray AI FinOps Directory
Author: cloudxrayai

Search and compare 290+ FinOps and cloud cost vendors from the CloudXray AI directory.

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Install

mcp_config.json

{
  "mcpServers": {
    "ai-cloudxray-finops-directory": {
      "url": "https://cloudxray.ai/mcp",
      "type": "streamable-http"
    }
  }
}

Documentation

CloudXray AI for AI assistants

Search, compare and shortlist FinOps and cloud cost management vendors from the CloudXray AI directory inside Claude, ChatGPT, Cursor, VS Code and other AI tools.

This repository contains:

The CloudXray AI MCP server connection (https://cloudxray.ai/mcp): tools to search vendors by capability, cloud, integration, pricing model and more, compare up to four vendors, find alternatives, and see recent directory changes.
The FinOps vendor selection skill (skills/finops-vendor-selection): an experienced practitioner's method. Understand the situation, map needs to the FinOps Framework, shortlist, compare, and prepare demo questions, citing CloudXray AI profiles.

You need a free CloudXray AI account with a verified email. Each account gets a free monthly allowance of calls. See cloudxray.ai/developers and the API & MCP Terms.

Install for your tool

Tool	How
Claude Code	Plugin (server + skill), below
Claude (claude.ai, desktop)	Custom connector + skill upload, below
ChatGPT	chatgpt/
Cursor	cursor/
VS Code (Copilot)	vscode/
Gemini CLI	gemini/ (planned)
Anything else that speaks MCP	Remote server `https://cloudxray.ai/mcp` (Streamable HTTP; OAuth sign-in or `Authorization: Bearer <API key>`)

Claude Code

/plugin marketplace add cloudxrayai/cloudxray-ai
/plugin install cloudxray@cloudxray

Then run /mcp, choose cloudxray, and Authenticate to sign in with your CloudXray AI account.

Prefer an API key? Add the server yourself instead:

claude mcp add --transport http cloudxray https://cloudxray.ai/mcp --header "Authorization: Bearer YOUR_KEY"

Claude (claude.ai and desktop)

Connector: Settings → Connectors → Add custom connector, URL https://cloudxray.ai/mcp, then Connect and sign in. (Paid Claude plans.)
Skill (optional): download finops-vendor-selection.zip from the latest release, then in Claude go to Customize → Skills → + → Create skill → Upload a skill. Requires "Code execution and file creation" to be enabled.

Try it

"Shortlist Kubernetes cost tools for EKS and GKE that support FOCUS."
"We spend about $3M a year across AWS, Azure and our VMware data centers. Compare options for allocation and chargeback, SaaS only."
"What are alternatives to Vantage for a mid-market team?"

Repository layout

skills/              the vendor-selection skill (single source; shared by every platform)
.claude-plugin/      Claude Code marketplace + plugin manifest (the repo root is the plugin)
.mcp.json            the Claude Code plugin's MCP server connection
cursor/ vscode/ chatgpt/ gemini/   per-tool setup
mcp-registry/        official MCP Registry entry (server.json)
scripts/build.sh     packages release files into dist/ (claude.ai skill zip, Cursor rule)

About

CloudXray AI is an independent FinOps research directory and advisory practice. Vendor data comes from automated research reviewed by CloudXray AI; verify important details with vendors.

License: MIT (this repository). Use of the CloudXray AI API and MCP server is subject to the API & MCP Terms.

Sourced from the repository README.

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