5 tools. 3 can modify or destroy data without limits.
3 write tools that can modify data. Rate limits recommended.
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Free to start. No card required.
Full per-tool breakdown → Model it in the token calculator →
Execute tools (deploy_service_from_archive, deploy_service_from_file_contents, deploy_service_from_image) trigger processes with side effects. Builds, notifications, workflows — all fired without throttling.
{
"get_service": {
"limits": [
{
"counter": "get_service_per_minute",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
} Controls API costs and prevents retry loops from exhausting upstream rate limits.
The Google Cloud Run server is primarily read-only with 2 read tools. While it cannot modify data, an agent in a retry loop can make thousands of API calls per minute, exhausting rate limits and running up costs. Rate limiting is still recommended.
5 tools across 2 categories: Execute, Read. 2 are read-only. 3 can modify, create, or delete data.
Register the Google Cloud Run MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.
Starter policies for each. Same risk classification, live on your fleet in minutes.
Deterministic rules across all 5 Google Cloud Run tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.