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Topic hub · Agent Gateway

Agent Gateway: the data plane for enterprise agentic AI

An agent gateway is where every agent invocation lands and either runs or gets refused. Authentication, RBAC, rate limiting, and a tool-call observability record per call. Field guide on what an agent gateway must enforce in 2026, how it differs from an API gateway, and how to evaluate vendors.

Contributing Writer · Identity & Authorization
Reviewed by Ryo Hang
7 min · Updated May 8, 2026

An agent gateway is the data plane of enterprise agent infrastructure: the inline component that every agent invocation passes through, where authentication is verified, RBAC is enforced, the call is routed, rate limits and circuit breakers fire, and an observability record is written for the audit trail. It is the only point in the stack where you can answer the runtime question — should this particular invocation actually happen right now? — with the version, policy, and identity context of the moment.

The gateway pairs with the agent registry on the catalog-plane side, and frequently with an MCP gateway when the agents being governed are MCP servers. The three are not interchangeable. The registry tells you what exists. The gateway enforces what runs. The MCP gateway is the protocol-specific flavor of the agent gateway when MCP is the wire.

What an agent gateway has to enforce

A serviceable agent gateway enforces five things at every invocation. Anything less is a reverse proxy with extra logging.

  1. 01

    Authentication

    OAuth 2.1 with PKCE, RFC 8707 resource indicators (mandatory in MCP since March 15, 2026), and on-behalf-of token exchange so the downstream agent runs under the calling user's identity, not a shared service account.

  2. 02

    Authorization

    RBAC referencing IdP groups, evaluated against the access policy the registry currently advertises for the called agent. Not the policy from the last sync — the current one.

  3. 03

    Routing

    Pick the right backend version of the agent (active vs deprecated vs canary), with the routing decision logged so audit can answer "which version of agent X served this call."

  4. 04

    Rate limiting and circuit breakers

    Per-user, per-agent, per-tool quotas, with circuit breakers that trip when downstream MCP servers degrade. Without this, an autonomous agent in a loop will quietly bankrupt the budget.

  5. 05

    Observability

    A structured record per tool call: identity, agent version, MCP tool name, inputs, expanded results, success/failure, and the policy version that authorized the call. Not raw HTTP logs.

Gateway vs registry: where the line sits

The cleanest framing we have found for procurement conversations: the registry is the catalog plane (out of the call path, source of record), and the gateway is the data plane (in the call path, enforcement point). Both are required for governed agent infrastructure. Neither is a substitute for the other.

The two must share state — schema, policy objects, version reference — or the gateway becomes either over-permissive (enforcing a stale schema that is now broader than the current one) or under-permissive (refusing a call that the registry approved last week). We work through the three concrete failure modes, and the two diagnostic questions that catch them, in Agent Registry vs. Agent Gateway: Two Roles, One Control Plane.

How an agent gateway differs from a standard API gateway

An API gateway terminates TLS, authenticates the call, and forwards. An agent gateway has to do four extra things that no Kong / Apigee / AWS API Gateway configuration will handle natively.

  • It speaks MCP and A2A natively. The wire is JSON-RPC 2.0 with tool definitions and structured results, not REST or GraphQL. Authorization is at the per-tool level, not per-endpoint.
  • It propagates identity through tool calls. When the language-model orchestrator invokes an MCP tool that itself calls another MCP tool, the on-behalf-of identity has to follow. Standard API gateways drop this on the second hop.
  • It records semantics, not bytes. The observability record is the resolved tool name, the resolved arguments, the resolved result — not the raw JSON-RPC frame. Compliance auditors do not want to read JSON-RPC.
  • It enforces against a versioned schema. The agent's capability surface changes with each version; the gateway has to enforce against the version the registry currently advertises, not the one frozen into the gateway config six months ago.

Five questions for an agent gateway vendor

If you are running a gateway evaluation, these five questions are the floor. Vendors that hedge on any of them are not yet enterprise-ready, regardless of what the deck says.

  1. 01

    Revocation timing

    If you revoke a user's access in the registry now, how long until the gateway stops authorizing their invocations? Real-time or first-call. Anything else is a security gap.

  2. 02

    Deprecation timing

    If you deprecate an agent version in the registry now, how long until the gateway stops routing to it? Same answer. Sync-interval propagation is the wrong shape.

  3. 03

    Audit granularity

    Does the per-call record name the specific MCP tool invoked (apply_compile, run_diff, etc.) or just the agent? Tool-level granularity is what compliance asks for.

  4. 04

    Policy snapshot

    Does the audit record include the policy configuration in effect at the moment of the call, not just a policy ID? IDs mutate; snapshots do not.

  5. 05

    Multi-provider reach

    Can it gateway across AWS AgentCore, Azure AI Foundry, Cloudflare MCP Server Portals, and self-hosted MCP servers — or does each provider need its own gateway, with reconciliation by hand?

Jarvis Registry as a unified gateway

Jarvis Registry is the gateway and the registry at the same time. The catalog plane and the data plane share the schema, the policy objects, and the version reference. Deprecation in the catalog takes effect in the gateway on the next call, not the next sync. Each per-call audit record names the registry version and policy snapshot in effect at the moment of the call. RBAC consumes IdP groups directly through SAML / OIDC; there is no parallel role system to drift from.

The product registers as the unified MCP endpoint that Jarvis Chat, Claude Desktop, Claude Code, VS Code, Cursor, GitHub Copilot, Microsoft Copilot, Windsurf, and ChatGPT all connect to. From the client's perspective there is one MCP server. Behind it, Jarvis Registry is gatewaying invocations across AgentCore, Azure AI Foundry, and self-hosted servers — with one audit trail, one policy surface, one version of the truth.

Frequently asked

Common questions

  1. What is an agent gateway?
    An agent gateway is the inline data-plane component that every AI-agent invocation passes through. It authenticates the call, enforces the access policy the registry currently advertises, routes to the right agent version, applies rate limits and circuit breakers, and emits a structured per-call observability record. It is the only place in the stack where the runtime question — should this invocation actually run right now — gets answered with the policy and identity in effect at the moment.
  2. How is an agent gateway different from an API gateway?
    An API gateway terminates TLS and forwards REST or GraphQL calls. An agent gateway speaks MCP or A2A natively (JSON-RPC 2.0 with tool definitions), enforces at the per-tool level, propagates on-behalf-of identity through nested tool calls, records semantic tool-call events rather than raw HTTP frames, and validates against a versioned capability schema that the registry advertises. A standard API gateway can be configured to do parts of this; none of the major ones do all of it without an agent-specific layer on top.
  3. Do I need an agent gateway if I already have an MCP gateway?
    An MCP gateway is an agent gateway specialized for the Model Context Protocol. If MCP is your only agent wire, you do not need a second gateway. If you have A2A agents alongside MCP servers, or you are federating MCP gateways across AWS AgentCore, Azure AI Foundry, and Cloudflare, the agent gateway is the layer that gives you one policy surface and one audit trail across all of them. The MCP gateway sits underneath as one of the providers being federated.
  4. What does an agent gateway log that an API gateway does not?
    Per-call records that name the specific MCP tool invoked, the resolved arguments, the structured result, the agent version that served the call, and the policy snapshot the gateway used to authorize it. An API gateway logs the HTTP frame; an agent gateway logs the semantic tool call. Compliance auditors operate in the second vocabulary, not the first.
  5. How does Jarvis Registry implement the gateway?
    Jarvis Registry is a unified registry and gateway in one product — the catalog and data planes share schemas, policy objects, and the version reference, so deprecation and policy revocation take effect on the next call rather than the next sync. RBAC consumes IdP groups directly through SAML / OIDC. The audit record on every call names the registry version and policy snapshot in effect at that moment. Federates across AWS AgentCore, Azure AI Foundry, Cloudflare MCP Server Portals, and self-hosted A2A agents, with one MCP-compatible endpoint that Jarvis Chat, Claude Desktop, Cursor, and the other major clients connect to.
See it implemented

Jarvis Registry: registry and gateway in one product

The catalog plane and the data plane share schemas, policy objects, and version reference. Federates across AgentCore, Azure AI Foundry, Cloudflare, and self-hosted servers. Per-call audit records include the policy snapshot at the moment of the call. Connects Jarvis Chat, Claude Desktop, Claude Code, Cursor, GitHub Copilot, and other clients through one MCP-compatible endpoint.