Akeyless (SecretlessAI and MCP server) vs Azure Key Vault

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.

Azure Key Vault

Access runs on Microsoft Entra ID tokens and Azure roles that can be scoped to one secret, with soft delete, a 99.99 per cent SLA and a public OpenAPI contract. Secret rotation needs an Event Grid trigger and a function the owner writes, audit logging is off until enabled, and an Azure subscription needs a person and a payment card.

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

Azure Key Vault

1. Request a token for the resource https://vault.azure.net and send it as a Bearer header. Every call must carry api-version, such as 2025-07-01, because there is no default
2. Ask for the Key Vault Secrets User role on the vault or the single secret. Key Vault Reader returns metadata only, not values
3. Cache secret values in memory. A vault allows 4,000 reads and 300 secret creations per 10 seconds, and a subscription five times that
4. On 429 wait 1, 2, 4, 8 then 16 seconds. Throttled requests do not count against the limit
5. Don't retry Set Secret blindly. Each successful call creates a new version of the secret