Quick answer
AI agents should access secrets through scoped, expiring, auditable tokens rather than raw environment files, private keys, or admin credentials. The token should limit which secrets or hosts the agent can reach, and every read, denied request, and session action should be logged.
Questions this hub answers
how should AI agents access secrets safely
how do I stop AI agents reading production secrets
what is MCP access control
how should Claude Code access infrastructure credentials
how do I audit AI agent secret reads
What this topic covers
AI coding agents and automation tools increasingly need access to infrastructure context, but handing them a full .env file or private key makes the agent more privileged than the task requires. The safer pattern is scoped access with explicit denial paths and logs.
Where CertLocker fits
CertLocker MCP registers agents as first-class assets and gives them scoped bearer tokens for secret reads, SSH requests, and infrastructure actions. The platform logs successful and denied actions so agent behavior can be reviewed.
Start with these pages
What Are Scoped Credentials for MCP Servers
A practical explanation of MCP credential management: how AI agents should request scoped access without receiving broad .env files or production keys.
Non-Human Identity Tools for Infrastructure Teams
How infrastructure teams should compare non-human identity tools across TLS certificates, secrets, SSH keys, service accounts, and agent tokens.
MCP for Secrets and Certificates: Scope the Token, Keep the Audit
Infisical, Doppler, CertSecure, and CertLocker patterns, with a scoped-access evaluation.
CertLocker MCP: Scoped, Audited Access for AI Agents
How CertLocker gives AI agents scoped access instead of raw credentials.
Build Notes: Production HA, AI-Readable Docs, and Instagram Launch
AI-readable docs, MCP hardening, and crawler discovery notes.
Connect CertLocker MCP
Join steps plus Claude Code, Codex, Gemini CLI, and Cursor config examples.
Secrets management
The secret storage and audit side of agent access.
SSH access management
The server-access side of agent and operator workflows.
CertLocker vs Infisical
Compare secrets, certificates, host access, MCP, and packaging.
CertLocker vs AWS Secrets Manager
Cloud secrets compared with infrastructure and agent workflows.
CertLocker vs HashiCorp Vault
Vault-style secrets compared with CertLocker operational workflows.
Frequently asked questions
Should AI agents be given raw .env files?
No. Raw environment files usually contain more access than the task requires and leave weak audit trails. A scoped token is safer because it can restrict resources, expire, and record every read or denied action.
What should be logged when an AI agent accesses infrastructure?
The log should capture the agent identity, token, requested resource, action, result, timestamp, and denial reason if access was blocked. For SSH or RDP workflows, session start, expiry, and target host should also be recorded.
Evaluate this against your environment
Bring your current inventory or operational problem to a hosted walkthrough. We will help map your hosts, certificates, access paths and audit needs.