MCP Best Practices
MCP best practices are the operational habits that let an organization adopt the Model Context Protocol without creating a new, ungoverned path to its data. In short: front every server with a gateway, tie access to your identity system, grant least privilege per tool, curate what you expose, and record everything. The checklist below expands each point.
Front everything with a gateway
Do not let AI clients connect directly to individual MCP servers. Route every connection through a single MCP gateway so identity, authorization, policy and auditing are enforced in one place. A gateway turns N clients times M servers into one governed surface, and gives you a single point to observe, rate-limit and revoke.
Enforce SSO and centralized identity
Every request should carry a real, verified identity. Integrate the gateway with your SSO / IdP (OIDC or SAML) and, where possible, SCIM for provisioning, so joiners and leavers are handled automatically. Never rely on shared API keys or anonymous access for anything touching sensitive systems. See MCP Authentication.
Grant least privilege per tool
Authentication proves who; authorization decides what. Apply least privilege at the granularity of individual tools and servers, driven by role- or attribute-based access control — a support agent should not reach a tool that issues refunds just because both live behind the same gateway. See MCP Authorization.
Curate a registry, don't expose everything
Maintain a deliberate registry of approved servers and tools rather than auto-exposing whatever a server advertises. Curation lets you review each tool before it is reachable, disable risky or unused ones, and give clients a clean, discoverable catalog.
Verify and pin tool definitions
An MCP tool's description and schema influence how a model behaves, which makes them a security surface. Review tool definitions before approving them, and pin them so a server cannot silently change a tool after it has been trusted — the class of attack covered in Tool Poisoning & Rug-Pull Attacks. Re-review on change rather than accepting updates blindly.
Redact secrets and PII
Tool arguments and results routinely carry credentials and personal data. Redact secrets and PII before they land in logs, traces or the audit trail, so observability does not become a data-leak of its own. Keep redaction rules close to the gateway where all traffic converges.
Require approval for sensitive actions
For high-impact or irreversible operations — deleting data, moving money, changing access — require human approval before the call executes. A maker-checker / approval step turns a single model mistake or prompt injection into a caught event rather than an incident.
Keep sensitive data on-premise
If prompts and results contain regulated or proprietary data, keep the whole path on-premise. Self-hosting the gateway and upstream servers avoids data egress and satisfies residency requirements. See also MCP for Regulated Industries.
Monitor usage, quotas and cost
Instrument the gateway with observability: traces, metrics and per-user or per-team usage. Set quotas and rate limits to contain runaway agents and control cost, and alert on anomalies such as a sudden spike in calls to a sensitive tool.
Keep a tamper-evident audit trail
Record every call — identity, tool, arguments, result, timestamp — in a tamper-evident audit trail. This is what lets you reconstruct an incident, satisfy an auditor and prove that access to regulated systems is controlled. Treat the audit trail as non-negotiable, not optional.
How Kravn fits
Kravn is built around this checklist: it fronts your MCP servers behind one gateway, integrates with enterprise SSO/SCIM/RBAC, curates a registry of approved tools, pins tool definitions, supports approval workflows and redaction, and keeps a tamper-evident audit trail — all self-hosted with no data egress. See the security guide and governance concepts for details.