Server data from the Official MCP Registry
Search and compare 290+ FinOps and cloud cost vendors from the CloudXray AI directory.
About
Search and compare 290+ FinOps and cloud cost vendors from the CloudXray AI directory.
Remote endpoints: streamable-http: https://cloudxray.ai/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-cloudxray-finops-directory": {
"url": "https://cloudxray.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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.zipfrom 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)
Changelog
See CHANGELOG.md.
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.
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