api-gateway-backend-security-and-rate-limiting
Secures and rate limits backend services behind Google Cloud API Gateway across OpenAPI 2.0 and OpenAPI 3.0.x API configurations, including MCP-enabled gateways. Use when configuring API key or JWT authentication, locking down Cloud Run or Cloud Run functions backends with a gateway service account,
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SKILL.md
API Gateway Backend Security and Rate Limiting
This skill configures client authentication, gateway-to-backend authentication, and per-project rate limits (quotas) for Google Cloud API Gateway across OpenAPI 2.0 (swagger: "2.0") and OpenAPI 3.0.x (openapi: 3.0.4), including gateways with Model Context Protocol (MCP) enabled (Public Preview).
Prerequisites
- Install the Google Cloud CLI and Python 3.10+ YAML parser:
- Install or update the Google Cloud SDK.
- Install
PyYAMLfor the quota metric validation script:pip install "PyYAML>=6.0,<7.0"
- Authenticate your environment:
- Local CLI session:
gcloud auth login - Application Default Credentials (SDKs):
gcloud auth application-default login - Service account key file (if required by CI): set
GOOGLE_APPLICATION_CREDENTIALS={key_file_path}
- Local CLI session:
- Select or create a project, verify billing, and pick a supported gateway location:
- Select an existing project (
gcloud config set project {project_id}) or create one (gcloud projects create {project_id}as an escape hatch). - Verify that an active billing account is linked to
{project_id}(required even when staying within the API Gateway pricing free tier). - Use
us-central1as the default--locationfor API Gateway commands. For the other supported regions, see API Gateway deployment model.
- Select an existing project (
- Enable required Google Cloud APIs:
API Gateway does not need the Cloud Run API. If the backend runs on Cloud Run, that API is already enabled in the backend's project.gcloud services enable \ apigateway.googleapis.com \ servicemanagement.googleapis.com \ servicecontrol.googleapis.com \ iam.googleapis.com \ apikeys.googleapis.com \ --project={project_id} - Verify required IAM roles:
- To manage API Gateway resources and enable services:
roles/apigateway.adminandroles/serviceusage.serviceUsageAdmin - To create the gateway service account and attach it to an API config:
roles/iam.serviceAccountAdminandroles/iam.serviceAccountUser - To manage API keys in consumer projects:
roles/serviceusage.apiKeysAdmin - For the gateway service account to invoke the backend:
roles/run.invoker(Cloud Run or 2nd gen functions) orroles/cloudfunctions.invoker(1st gen functions)
- To manage API Gateway resources and enable services:
Decision Matrix: Client Authentication, Backend Security, and Quotas
Select the layer that matches the security requirement:
| Goal | Mechanism to Configure | Key Constraint | Detailed Reference |
|---|---|---|---|
| Identify the calling consumer project for quotas and billing | API key (x-api-key header convention; key query parameter escape hatch) | NEVER rely on an API key alone to authenticate end-user identity. Rationale: API keys identify a Google Cloud project rather than a user, and clients can extract them. | Client Authentication |
| Authenticate end users or calling services | JWT (oauth2 scheme with x-google-issuer / x-google-jwks_uri in OAS 2.0, or x-google-auth in OAS 3.x) | Operation-level security overrides root security. Include api_key: [] and the JWT scheme in the same security requirement object when an endpoint needs both user identity and quotas. | Client Authentication |
| Block direct calls to the backend service | Dedicated gateway service account (--backend-auth-service-account) + roles/run.invoker + backend --no-allow-unauthenticated | Roll out the gateway config with --backend-auth-service-account BEFORE setting --no-allow-unauthenticated on a live backend to avoid 403 downtime. | Backend Security |
Rate limit requests per consumer project (1/min/{project}) | x-google-management (OAS 2.0) or x-google-api-management (OAS 3.x) + x-google-quota | NEVER rename or remove a quota metric when creating a new API config while any gateway of the API runs an older config referencing that metric. Rationale: Creating the config immediately overwrites API-wide quotas and causes HTTP 500 Failed to call Service Control Quota on older gateways. | Quotas and Rate Limiting |
Secure MCP tools/list and tools/call on /mcp (Public Preview) | x-google-api-management.mcp.tools-list.security (exactly one JWT or API key scheme) + operation security and x-google-mcp-tool: false | x-google-mcp-tool: false hides an operation from MCP only; the underlying REST route remains live unless secured or removed. | MCP Traffic Security |
Execution Workflow and Validation Loop
Follow this zero-downtime sequence when authoring or updating an API Gateway security or quota configuration:
- Create the gateway service account and grant backend invoker permissions:
- Follow Steps 1–3 of Backend Security to create
{gateway_sa_name}and request human approval before grantingroles/run.invokeron{backend_service}. - Update backend handler code to decode verified user claims from
X-Apigateway-Api-Userinfo(base64url-encoded JSON) instead ofAuthorization.
- Follow Steps 1–3 of Backend Security to create
- Author the OpenAPI authentication and quota definitions:
- Use the OpenAPI 2.0 or OpenAPI 3.0.x templates and provider tables in Client Authentication and Quotas and Rate Limiting.
- If the specification enables MCP (
x-google-api-management.mcp), configure exactly one JWT or API key scheme ontools-list(also list a JWT scheme in the rootsecuritylist), and review operation opt-outs using MCP Traffic Security.
- Run the quota metric validation loop BEFORE running
api-configs create:- If neither the active specs nor
{candidate_openapi_spec}define quota metrics (x-google-management.metricsorx-google-api-management.metrics), skip this step. - Request human approval before creating an API config that defines or modifies quotas, because
api-configs createimmediately replaces quota definitions across all gateways of the API. - By default, run
scripts/check_quota_metrics.pyagainst all active gateways deployed for{api_id}in{project_id}:python3 scripts/check_quota_metrics.py \ --spec={candidate_openapi_spec} \ --project={project_id} \ --api={api_id} - Escape hatch for offline environments without
gcloudaccess (pass--baseline-specfor every config currently served by a gateway of the API):python3 scripts/check_quota_metrics.py \ --spec={candidate_openapi_spec} \ --baseline-spec={previous_openapi_spec} \ --dry-run - If
scripts/check_quota_metrics.pyexits with code1(status: "FAIL"), add the missing metrics and limits back to{candidate_openapi_spec}, move eachx-google-quotalisted inignored_quota_extensionsinto the operations it applies to, and re-run the script until it exits with code0(status: "PASS"). If the user wants to remove a limit on purpose, confirm the removal with the user, because it removes that limit from every gateway of the API. Ifskipped_configsis not empty, tell the user that the script did not inspect those API configs (for example, gRPC configs), and check their quota metrics and limits manually. If it exits with code2, fix the problem printed to stderr: the CLI arguments,gcloudauthentication, or an API config that the script cannot inspect.
- If neither the active specs nor
- Create the API config, update the gateway, enable the managed service, and lock down the backend:
- Follow Steps 4–5 of Backend Security to run
gcloud api-gateway api-configs createandgcloud api-gateway gateways update(request human approval before updating a production gateway), enable the API'smanagedServicein consumer projects (Client Authentication), and then restrict{backend_service}with--no-allow-unauthenticated. - Verify that direct calls to the backend
*.run.appURL return403, unauthenticated calls to the gatewaydefaultHostnamereturn401, and authenticated calls return200.
- Follow Steps 4–5 of Backend Security to run
Pre-Deployment Checklist
- Dedicated
{gateway_sa_name}is grantedroles/run.invoker(orroles/cloudfunctions.invoker), and--no-allow-unauthenticatedis applied after the gateway config is active. - Backend code decodes
X-Apigateway-Api-Userinfofor user claims. - Security enforcement does not depend solely on a load balancer or Google Cloud Armor in front of the gateway, because the gateway's
defaultHostname(*.gateway.dev) cannot be disabled. - Every quota-enforced operation requires an API key (
api_key: []), and the API'smanagedServiceis enabled and allowed on the API key in each consumer project. -
python3 scripts/check_quota_metrics.pyreturnsstatus: "PASS"(exit code0) against active gateway configs or all baseline specs beforeapi-configs create. - If MCP is enabled,
x-google-api-management.mcp.tools-list.securitynames exactly one JWT or API key scheme (a JWT scheme is also in the rootsecuritylist), and administrative endpoints are secured on REST in addition tox-google-mcp-tool: false.
Resource Cleanup
To avoid ongoing charges when tearing down a test or staging environment, request human approval and delete the gateway, all API configs, the API, and the service account in dependency order:
gcloud api-gateway gateways delete {gateway_id} --location={region} --project={project_id}
gcloud api-gateway api-configs delete {config_id} --api={api_id} --project={project_id}
gcloud api-gateway apis delete {api_id} --project={project_id}
gcloud iam service-accounts delete {gateway_sa_name}@{project_id}.iam.gserviceaccount.com --project={project_id}
Files
6- SKILL.md
c3ac0bc34a10.7 KB - references/backend-security.md
8cae70143d7.8 KB - references/client-authentication.md
6ffe4a29ac9.0 KB - references/mcp-traffic-security.md
b24f2cb4e69.5 KB - references/quotas-and-rate-limiting.md
37b0cb8b837.5 KB - scripts/check_quota_metrics.py
7cf94143bd15.7 KB
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