Akeyless (SecretlessAI and MCP server) vs Google Cloud Secret Manager

Akeyless (SecretlessAI and MCP server)

Gateway-brokered SecretlessAI and a runtime-authority MCP server with 4 tools that return results, not credentials. No published prices above the free plan; clients and transactions are metered with overage billed at the end of a 12-month contract.

Google Cloud Secret Manager

Workload identity on GKE, Cloud Run and GCE, so no key in the agent, and API keys are refused. Managed rotation only covers Cloud SQL; other rotation is a Pub/Sub notification you handle.

Akeyless (SecretlessAI and MCP server)

1. Run akeyless mcp-runtime-authority, not akeyless mcp, for an agent that acts on systems; the first returns results, the second has get_secret and get_password
2. Authenticate with a cloud identity, Kubernetes or Universal Identity rather than an access key, which the docs reserve for proofs of concept
3. Use CLI 1.130.0 or later for either MCP server, and point the client at your Gateway URL
4. Count identities and calls before scaling. The free plan allows 5 clients, and calls over a tier's cap (200 a minute on Silver) are billed as extra clients, not refused
5. Pass the token in the JSON body of each POST, and page /list-items with pagination-token

Google Cloud Secret Manager

1. Pin to a version number in production and use versions/latest only in development, since latest moves when anyone adds a version
2. Grant roles/secretmanager.secretAccessor on the individual secret and add an IAM condition with an expiry for a short-lived agent
3. Turn on Data Access audit logs for secretmanager.googleapis.com if you need a record of each read
4. Read once per run and cache; accesses past 10,000 a month are metered
5. Use a regional secret (projects/*/locations/*/secrets/*) when the data must stay in one place, and note the higher write quota there