MCP server governance — Use case

Register, authenticate, scope, and audit every MCP server an agent can reach. Apinizer turns the MCP plane into a governed surface — not a wild-west extension layer.

AI teams · MCP · For AI teams

Every MCP server registered. Every call authorized. Every action audited.

Apinizer's AI Gateway treats the Model Context Protocol surface as a first-class plane. Agents discover only the servers they're scoped to; every invocation passes the same auth and audit as any other API call.

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The problem

The problem

MCP is the new shadow IT.

Agents reach for MCP servers the way services used to reach for internal APIs in 2014 — without auth, without scope, without an audit log. The moment an agent can call 'send email' or 'create ticket', the org needs the same governance the API plane took a decade to build. Apinizer's MCP governance applies that decade of work to the new plane on day one.

Capabilities

MCP is a proxy type, not a side-car

Opening an MCP endpoint is a two-way choice: publish the REST and SOAP APIs you already run as MCP tools, or pass through to an external MCP server — with an allow-list, an output filter, and up to eleven backends aggregated behind one path with deterministic namespacing.

Authenticated invocations

Every MCP call runs the standard policy chain — OAuth 2.0, OIDC, JWT, API key, mTLS — the same one your REST proxies use. Only manifest discovery is exempt. No anonymous tool access, and no second auth scheme to maintain.

Default-deny tool access

An agent might call read_calendar but not write_calendar. The access list starts closed and is sliced per tool, per credential, per role, per org — reviewed in the same UI as API permissions.

Audit at the tool boundary

Every MCP invocation captured at the framework boundary. Who, what, when, which tool, which arguments — immutable, queryable, exportable.

Quotas, argument limits, drift detection

Call quotas per tool, plus regex, max-length, enum, and required constraints on the arguments an agent may pass. Each tool's schema is pinned by hash and re-checked by a health job — when an upstream server quietly changes what a tool does, you get a warning or a closed door, your choice.

Credentials exchanged, not forwarded

The gateway exchanges its own credentials with the backend MCP server, held encrypted at rest and never logged. Forwarding the client's token is off everywhere until you explicitly opt in, per target.

Real-world examples

Banking

Scenario: Istanbul bank governs 14 MCP servers across the SOC and ops teams

Outcome: Each server registered with owner, scope, and auth requirement. Agents see only the tools they're scoped to; the SOC sees every invocation.

Manufacturing

Scenario: Munich OEM exposes MES tools to factory agents via MCP

Outcome: MES servers registered with per-line scopes. Line 3 agents cannot read line 4 telemetry; auditors confirm in one query.

Insurance

Scenario: Paris insurer enforces PII boundaries on MCP-exposed claim tools

Outcome: Tools that touch PII require a stricter identity claim. The gateway rejects under-scoped invocations; agents fall back to redacted variants.

Government

Scenario: Riyadh ministry rate-limits 'create ticket' to prevent agent storms

Outcome: Per-agent throttle on ticket creation. A misbehaving prompt loop can't flood ITSM; severity-aware alarm catches the loop in 90 seconds.

Telecom

Scenario: Madrid carrier audits every MCP call across 230 agent flows

Outcome: Audit query returns 'who used tool X in window Y' in seconds. The MCP plane has the same forensic surface as the API plane.

Media

Scenario: Milan publisher binds MCP credentials to short-lived JWTs

Outcome: Agents never hold long-lived secrets. Each invocation carries a per-call token; rotation is automatic.

Energy

Scenario: Prague utility separates MCP planes for ops and finance agents

Outcome: Operations agents discover only operations servers. Finance agents discover only finance servers. Same Manager; different scopes.

Public sector

Scenario: Baku ministry adds an MCP server to the existing API portal

Outcome: The portal lists MCP servers alongside REST APIs. Partners request access to either via the same flow.

Recommended modules

AI Gateway — MCP registry, authenticated invocations, scoped permissions, audit at the tool boundary.
Identity Manager — Agent identities, short-lived tokens, OIDC / JWT — the auth surface MCP needs.
API Portal — Surface MCP servers in the same self-service portal as REST APIs.
Analytics Engine — Per-tool, per-agent, per-consumer telemetry — including MCP invocations.

Resources

MCP governance overview — How Apinizer treats the Model Context Protocol as a governed surface.
AI Gateway — The lane MCP traffic runs on — same auth, audit, and scopes as API traffic.
Registry pattern — Discovery, scopes, ownership — how the MCP server registry composes.
Observability & audit — How MCP invocations land in the same evidence plane as API calls.
Agent-to-Agent — When agents call agents, not just tools — the next layer up.
Architecture overview — Where MCP fits in the AI lane and the broader topology.

Agent-to-Agent (A2A) — For AI teams
Prompt firewalls — For AI teams
AI observability — For AI teams
Three-tier permissions — For platform teams

Next step

MCP isn't shadow IT

Govern the tool layer like you govern the API.

A 30-minute walkthrough — registry, auth, scopes, audit — on a Kubernetes of your choice.

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