Cloudeval AI MCP Server

by ganakailabsio.github.ganakailabs/cloudevalv0.38.5

Access Cloudeval project context and reports for cloud evaluations of Azure and AWS CloudFormation, with a read-only toolset.

1Node.jsstdioofficial registry

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Active29d ago

Install Cloudeval AI MCP server

claude mcp add cloudeval-cli -e CLOUDEVAL_ACCESS_KEY='<cloudeval-access-key>' -- npx -y @ganakailabs/cloudeval-cli mcp serve --toolset readonly

{
  "mcpServers": {
    "cloudeval-cli": {
      "command": "npx",
      "args": [
        "-y",
        "@ganakailabs/cloudeval-cli",
        "mcp",
        "serve",
        "--toolset",
        "readonly"
      ],
      "env": {
        "CLOUDEVAL_ACCESS_KEY": "<cloudeval-access-key>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).

{
  "mcpServers": {
    "cloudeval-cli": {
      "command": "npx",
      "args": [
        "-y",
        "@ganakailabs/cloudeval-cli",
        "mcp",
        "serve",
        "--toolset",
        "readonly"
      ],
      "env": {
        "CLOUDEVAL_ACCESS_KEY": "<cloudeval-access-key>"
      }
    }
  }
}

Settings → Developer → Edit Config (claude_desktop_config.json), then restart.

{
  "servers": {
    "cloudeval-cli": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ganakailabs/cloudeval-cli",
        "mcp",
        "serve",
        "--toolset",
        "readonly"
      ],
      "env": {
        "CLOUDEVAL_ACCESS_KEY": "<cloudeval-access-key>"
      }
    }
  }
}

Add to .vscode/mcp.json in your workspace.

{
  "mcpServers": {
    "cloudeval-cli": {
      "command": "npx",
      "args": [
        "-y",
        "@ganakailabs/cloudeval-cli",
        "mcp",
        "serve",
        "--toolset",
        "readonly"
      ],
      "env": {
        "CLOUDEVAL_ACCESS_KEY": "<cloudeval-access-key>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

Configuration

Variable	Required	Secret	Description
CLOUDEVAL_ACCESS_KEY	yes	yes	Cloudeval access key with permissions for the selected project and report reads. Create it in the Cloudeval app under Developer > API & CLI access keys.

Freshness

Active — last maintenance signal 29d ago. The newest of the signals below sets the band.

Last commit (default branch)
2026-09-10 · 29d ago · GitHub
Latest release
2026-09-09 · 30d ago · GitHub · v0.38.5
Package published
no data · npm/PyPI
Registry entry updated
2026-09-09 · 30d ago · official registry · v0.38.5

FAQ

›How do I install the Cloudeval AI MCP server in Claude Code?

Run: claude mcp add cloudeval-cli -e CLOUDEVAL_ACCESS_KEY='<cloudeval-access-key>' -- npx -y @ganakailabs/cloudeval-cli mcp serve --toolset readonly. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does Cloudeval AI require an API key?

Yes. It expects CLOUDEVAL_ACCESS_KEY, of which 1 is a secret.

›Can I use Cloudeval AI as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is Cloudeval AI in the official MCP registry?

Yes, as io.github.ganakailabs/cloudeval.