Support for AWS EC2, Azure Virtual Machines and GCP Compute Engine.
Cloud compute mcp server connects Cloud Compute to AI assistants that speak the Model Context Protocol. Support for AWS EC2, Azure Virtual Machines and GCP Compute Engine.
Support for AWS EC2, Azure Virtual Machines and GCP Compute Engine.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"CloudComputeInfo": {
"command": "~/.local/bin/uv",
"args": [
"run",
"--with",
"mcp[cli]",
"--with",
"requests",
"--with",
"pyyaml",
"mcp",
"run",
"~/cloud-compute-mcp-server/main.py"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
AWS Labs' official server suite — current AWS docs, CDK guidance, cost analysis and service tools.
Financial reasoning infrastructure for AI agents: typed models, deterministic compilation, receipts
AWS Cost Explorer cost, forecast, and anomaly reporting through user-connected IAM credentials.
Safe Kubernetes access for AI agents via MCP. Read-only by default, with explicit permission modes.
Publish HTML, Markdown, KV, JSON, and files to brewpage.app from AI assistants. No signup.