Skip to main content
skill Claude Code Gemini CLI CX Codex official · Google

api-gateway-mcp-server — Claude Code skill: setup and features

Configures Google Cloud API Gateway as a remote MCP server over HTTP. It exposes REST APIs as tools for AI agents using annotated OpenAPI 3.x specs.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add google/skills --skill api-gateway-mcp-server -a claude-code
Open on GitHub

What api-gateway-mcp-server does

This skill configures Google Cloud API Gateway to operate as a remote Model Context Protocol server. The gateway listens for JSON-RPC 2.0 traffic at POST /mcp and converts calls like tools/list or tools/call into standard HTTP REST requests. You configure this by annotating OpenAPI 3.0.x or 3.1.x documents with x-google-api-management.mcp and x-google-mcp-tool.

Local setup requires the Google Cloud CLI, Python 3.10+, and the PyYAML package. Keep all MCP operations in a single OpenAPI file, as a gateway serves up to 1,000 tools from one document. By default, tools/list is unauthenticated. You can restrict it with a single JWT scheme or an API key passed via the x-api-key header.

Install it when exposing Google Cloud backends to Google ADK or Apigee Agent Registry. Skip this skill if you use Apigee X proxy bundles, GKE Gateway API, or outbound LLM routing.

What it helps with

  • Expose REST endpoints as agent tools over HTTP POST /mcp
  • Secure tools/list with JWT authentication or API keys
  • Migrate OpenAPI 2.0 specs to OpenAPI 3.x for MCP compatibility
  • Troubleshoot MCP JSON-RPC errors -32601, -32602, and -32000

Example prompts for the agent

  • Migrate this Swagger 2.0 spec to OpenAPI 3.0 for API Gateway MCP
  • Add x-google-mcp-tool annotations to the order placement endpoint
  • Secure the tools/list MCP endpoint using a JWT security scheme

How to install api-gateway-mcp-server

1Skills CLI (Vercel)

npx skills add google/skills --skill api-gateway-mcp-server -a claude-code

2Manually: put the files in place

~/.claude/skills/api-gateway-mcp-server/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/api-gateway-mcp-server/

From the same set172

The whole set →
bigquery-basics official google Manages BigQuery resources and runs SQL queries. Use it to create datasets, tables and views, or handle basic data ingestion and analysis. Claude Code Gemini CLI CX Codex 17,678installs cloud-run-basics official google This skill helps an agent manage Cloud Run services, jobs, and worker pools when a project needs HTTP deployment, scheduled work, or pull-based background processing. Claude Code Gemini CLI CX Codex 17,532installs gemini-api official google Connects Gemini API from Google Cloud Agent Platform to the agent. Gives access to Gemini models, multimodal input, function calling, and context caching. Claude Code Gemini CLI CX Codex 17,116installs google-cloud-recipe-auth official Google LLC This skill explains Google Cloud authentication and permissions. Use it when setting up IAM, ADC, or service accounts for local code and production workloads. Claude Code Gemini CLI CX Codex 15,450installs google-cloud-recipe-onboarding official Google LLC Guides a developer through a first Google Cloud project: CLI checks, sign-in, project setup and billing. It fits a personal first project. Claude Code Gemini CLI CX Codex 15,390installs cloud-sql-basics official google This skill helps create and explain Cloud SQL resources for MySQL, PostgreSQL, and SQL Server. Use it when setting up a database in Google Cloud. Claude Code Gemini CLI CX Codex 14,679installs google-cloud-waf-security official google This skill reviews Google Cloud workloads against the security pillar of the Well-Architected Framework and suggests actions for IAM, networks, data, and operations. Claude Code Gemini CLI CX Codex 14,620installs google-cloud-waf-cost-optimization official google Reviews Google Cloud workloads through the Well-Architected Cost Optimization pillar. Use it to inspect spending, resize resources, assess discounts, or find idle capacity. Claude Code Gemini CLI CX Codex 14,266installs

Similar

ecosystem-primer langchain-ai Guides framework selection across LangChain, LangGraph, and Deep Agents before writing code. Maps requirements to the right layer, env vars, and quickstarts. Claude Code CX Codex Cursor +1 8,000installs cli-anything-videocaptioner HKUDS Transcribes speech, translates subtitles into 38 languages, and burns captions into video using the VideoCaptioner backend. Useful when preparing video assets directly from the terminal. Claude Code CX Codex Cursor +1 495installs seedance-20 Emily2040 A skill that steers the agent through Seedance 2.0 video work: brief, surface checks, then a compact prompt for the mode you asked for. Claude Code CX Codex Cursor +1 481installs threejs-audio-generator majidmanzarpour A skill that turns ElevenLabs into game audio for Three.js: effects, loops, music and voice lines, written straight into the project. Claude Code CX Codex Cursor +1 2,900installs huggingface-zerogpu huggingface Skill for Gradio apps on Hugging Face Spaces with ZeroGPU: where @spaces.GPU belongs, how to size duration, what breaks at the worker boundary. Claude Code CX Codex Cursor +1 1,300installs engineering-advanced-skills Alireza Rezvani An index of 37 engineering skills for architecture, automation, reliability, and platform work. Use it when a project needs task-specific engineering workflows. Claude Code 2,019installs skill-creator official anthropics Creates and refines skills, then tests them with prompts, evaluations, and performance checks. Claude Code Claude.ai 414,180installs writing-for-agents Matt Pocock Guidance for writing skills and agent-facing documents. Use it when editing AGENTS.md, CLAUDE.md, or reference files reached from them. Claude Code 466,719installs

Questions about api-gateway-mcp-server

How to install api-gateway-mcp-server in Claude Code?

Run npx skills add google/skills --skill api-gateway-mcp-server -a claude-code in your terminal.

What does api-gateway-mcp-server do?

It configures Google Cloud API Gateway as an MCP server, translating agent JSON-RPC calls into backend REST API requests.

Does the gateway support OpenAPI 2.0 for MCP tools?

No. OpenAPI 2.0 specs cannot use MCP extensions. You must migrate your schema to OpenAPI 3.0.x or 3.1.x before configuring tools.

Source text

SKILL.md · Apache-2.0
---
name: api-gateway-mcp-server
metadata:
  version: "1.0.1"
  category: AiAndMachineLearning
description: >-
  Configures Google Cloud API Gateway to act as a remote Model Context Protocol
  (MCP) server (Public Preview) that exposes REST APIs as agent tools over
  HTTP (POST /mcp). Use when migrating OpenAPI 2.0 specs
  to OpenAPI 3.x for MCP, annotating specs with x-google-api-management.mcp
  and x-google-mcp-tool, securing tools/list with JWTs or API keys,
  connecting Google ADK (McpToolset) or Apigee API hub and Agent Registry, or
  troubleshooting MCP JSON-RPC errors (-32601, -32602, -32000). Do not use for
  Apigee X proxy bundles, outbound LLM model routing, or GKE Gateway API.
---

# API Gateway Remote MCP Server (Public Preview)

This skill converts new or existing REST APIs on Google Cloud API Gateway into remote Model Context Protocol (MCP) servers (`POST https://{default_hostname}/mcp`, **Public Preview**). By annotating an OpenAPI 3.x (3.0.x or 3.1.x) specification with `x-google-api-management.mcp` and `x-google-mcp-tool`, API Gateway translates MCP JSON-RPC 2.0 requests (`initialize`, `notifications/initialized`, `tools/list`, `tools/call`) into standard HTTP REST requests to your backend while enforcing existing authentication and quota policies.

## Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:api-gateway-mcp-server)"`
and append `agent-skills/1.0 (skill:api-gateway-mcp-server)` to `User-Agent` headers.

## Prerequisites

1. **Install the Google Cloud CLI and the validator dependency:**
   - Install the [Google Cloud CLI](https://docs.cloud.google.com/sdk/docs/install-sdk.md.txt). Then update it to the latest version with `gcloud components update`. An old CLI can fail when it uploads an OpenAPI 3.x API config.
   - Install Python 3.10 or later and `PyYAML` for the local OpenAPI MCP validator script:
     ```bash
     pip install "PyYAML>=6.0,<7.0"
     ```
2. **Authenticate your environment:**
   - Local CLI session: `gcloud auth login`
   - Application Default Credentials (SDKs / ADK): `gcloud auth application-default login`
3. **Select or create a project, confirm 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}`).
   - Confirm that an active billing account is linked to `{project_id}`. API Gateway has a free monthly allowance of API calls for each billing account, but you still need an active billing account to deploy. Calls above the allowance and network data transfer out are charged. For current prices, see [API Gateway pricing](https://cloud.google.com/api-gateway/pricing).
   - Use `us-central1` as the default `--location` for gateway commands. For the other supported regions, see [API Gateway deployment model](https://docs.cloud.google.com/api-gateway/docs/deployment-model.md.txt).
4. **Enable the required Google Cloud APIs:**
   ```bash
   gcloud services enable \
     apigateway.googleapis.com \
     servicemanagement.googleapis.com \
     servicecontrol.googleapis.com \
     --project={project_id}
   ```
   For API hub discovery (optional), enable the API hub API in the API hub host project: `gcloud services enable apihub.googleapis.com --project={hub_project_id}`. To query Agent Registry (optional), also run `gcloud services enable agentregistry.googleapis.com --project={project_id}`.
5. **Verify the IAM roles (use the most restrictive role for each step):**
   - To create and update the API, API configs, and gateways: API Gateway Admin (`roles/apigateway.admin`) on `{project_id}`. To run the `gcloud services enable` commands: Service Usage Admin (`roles/serviceusage.serviceUsageAdmin`) on that project.
   - To reference the gateway service account in an API config: Service Account User (`roles/iam.serviceAccountUser`) on `{gateway_sa_name}@{project_id}.iam.gserviceaccount.com`.
   - For a Cloud Run backend: grant the gateway service account the Cloud Run Invoker role (`roles/run.invoker`) on the service.
   - To mint test ID tokens as a caller service account: Service Account Token Creator (`roles/iam.serviceAccountTokenCreator`) on `{caller_sa_email}`.
   - Reference: [Configure the development environment](https://docs.cloud.google.com/api-gateway/docs/configure-dev-env.md.txt).

## Decision Matrix: MCP Server Configuration and Client Integration

| Task | Required Mechanism | Critical Guardrail | Detailed Reference |
| --- | --- | --- | --- |
| Migrate OpenAPI 2.0 (`swagger: "2.0"`) or author OpenAPI 3.x for MCP | Root `x-google-api-management.mcp` + named `backends` + operation-level `x-google-mcp-tool` | NEVER add MCP extensions to an OpenAPI 2.0 spec. **Rationale:** MCP is not supported for OpenAPI 2.0. Use OpenAPI 3.0.x or 3.1.x, and deploy the spec with `gcloud api-gateway api-configs create`. Keep all MCP operations in one OpenAPI document: if an API config has several documents, API Gateway serves the MCP tools of only one of them. | [OpenAPI 2.0 to 3.x Migration](references/openapi-v2-to-v3-mcp-migration.md) |
| Optimize tool names, descriptions, and schemas for LLM tool selection | `x-google-mcp-tool` (`name`, `description`, `false`) + described `requestBody` properties | Every operation MUST have an `operationId`, with or without MCP. Every exposed tool MUST resolve to a unique name that matches `[A-Za-z0-9_.-]{1,128}` (`x-google-mcp-tool.name`, or else the `operationId`), a non-empty description, and a non-empty response body (`HTTP 204` is unsupported). Only `GET`, `POST`, `PUT`, `PATCH`, and `DELETE` operations can be tools, and a gateway serves at most 1,000 tools. API Gateway rejects complex nested schemas when you create the API config, but a simple nested object body works. In OpenAPI 3.1, give each schema one `type`, because API Gateway also rejects a type list such as `type: ["string", "null"]`. Describe each property, and check each tool's `inputSchema` in `tools/list` after you deploy. | [OpenAPI Agent Tool Optimizer](references/openapi-agent-tool-optimizer.md) |
| Secure `tools/list` and hide internal/admin routes | `x-google-api-management.mcp.tools-list.security` (exactly one JWT or API key scheme; a JWT scheme is also listed in root `security`) + `x-google-mcp-tool: false` | `tools/list` is unauthenticated by default. It accepts one JWT scheme, or one API key scheme sent in the `x-api-key` header. API Gateway rejects a config whose JWT `tools-list.security` scheme is missing from the root `security` list, and that root entry also requires the JWT on every REST operation without its own `security`. If the root list already has an API key scheme, add the JWT to the same requirement object (AND): API Gateway does not support alternative (OR) requirements with an API key. An `mcp` object (for `tools-list`) also enables MCP for every eligible operation, so opt out each operation that agents must not use. `x-google-mcp-tool: false` hides a route from MCP only; keep REST `security` on admin routes. | [OpenAPI 2.0 to 3.x Migration](references/openapi-v2-to-v3-mcp-migration.md) |
| Connect Google ADK (`McpToolset`) and discover in API hub / Agent Registry | `McpToolset` (`StreamableHTTPConnectionParams`) + API hub project attachment | No separate registration step is needed. After you attach the API Gateway project to API hub, the MCP server appears in API hub as `{your_api} (MCP)` and in Agent Registry automatically. | [ADK and API Hub Discovery](references/adk-and-api-hub-discovery.md) |
| Verify `/mcp` JSON-RPC lifecycle and troubleshoot `-32601` / `-32602` / `-32000` errors | `POST https://{default_hostname}/mcp` with `MCP-Protocol-Version: 2025-11-25` | Keep `/mcp` at the host root: a `servers` base path (such as `/v2`) applies to REST paths only, and `{basepath}/mcp` returns HTTP 404. Nest JSON request bodies under `params.arguments.body` (`{"body": {...}}`). NEVER combine `x-google-api-management.mcp` with `x-google-model-router` in one config. **Rationale:** API Gateway does not allow MCP and model routing in the same API config. | [MCP Verification and Troubleshooting](references/mcp-limitations-and-troubleshooting.md) |

## Execution Workflow and Validation Loop

1. **Upgrade and annotate the OpenAPI 3.x specification:**
   - The references in this skill contain the conversion rules: the [Swagger 2.0 Construct Conversion Map](references/openapi-v2-to-v3-mcp-migration.md#swagger-20-construct-conversion-map) covers each Swagger 2.0 construct, and the [Complete Converted Example](references/openapi-v2-to-v3-mcp-migration.md#complete-converted-example) shows a finished spec with a Google ID token scheme. Use them before you search other sources.
   - Follow [OpenAPI 2.0 to 3.x Migration](references/openapi-v2-to-v3-mcp-migration.md) and [OpenAPI Agent Tool Optimizer](references/openapi-agent-tool-optimizer.md) to set `openapi` to a 3.0.x or 3.1.x version (the examples use `3.0.4`), remove unsupported OpenAPI 2.0 fields (`x-google-allow`), define `x-google-api-management.backends` (with `jwtAudience` or `disableAuth`), configure `x-google-api-management.mcp.tools-list.security` with exactly one JWT or API key scheme (add a JWT scheme to the root `security` list too, in the same requirement object as any API key scheme), author `x-google-mcp-tool` descriptions stating *when and why* to invoke each tool, and opt out administrative routes (`x-google-mcp-tool: false`).
   - Before you deploy, give the user a short summary that states each of these points, and get approval:
     - MCP is not supported for OpenAPI 2.0, so you converted the spec to OpenAPI 3.x.
     - Which operations you exposed as tools, and which you opted out with `x-google-mcp-tool: false`. Opted-out operations stay on REST.
     - If `tools/list` uses a JWT scheme, the root `security` entry makes every REST operation without its own `security` require the JWT. The gateway rejects REST callers without it.
     - The MCP endpoint is `https://{default_hostname}/mcp`, at the host root even when the spec sets a `servers` base path.
     - The limits that apply: only `GET`, `POST`, `PUT`, `PATCH`, and `DELETE` operations can be tools, a gateway serves at most 1,000 tools, request parameters must be primitive types, API Gateway rejects complex nested schemas and OpenAPI 3.1 type lists (such as `type: ["string", "null"]`) when you create the API config, tools cannot return `HTTP 204`, and MCP is stateless with UTF-8 text responses only.
   - Give the same points when the user only asks for the converted spec or for advice, without a deploy.
   - Preserve exact quota metric names in `x-google-api-management.metrics` across API configs so existing gateways do not fail with HTTP 500 `Failed to call Service Control Quota`.
2. **Run the deterministic MCP OpenAPI validation loop before creating the API config:**
   - Execute `scripts/validate_mcp_openapi.py` on `{candidate_openapi_spec}`:
     ```bash
     python3 scripts/validate_mcp_openapi.py --spec={candidate_openapi_spec}
     ```
   - If `scripts/validate_mcp_openapi.py` exits with code `1` (`status: "FAIL"`), fix every reported error in `{candidate_openapi_spec}` (such as OpenAPI 2.0 syntax, `x-google-allow`, path-level `x-google-mcp-tool`, undefined backend names, an operation without an `operationId`, missing descriptions, invalid or duplicate tool names, a header parameter with the reserved `x-google-` prefix, a `tools-list.security` scheme that is neither an `oauth2` JWT nor an `apiKey` scheme, a JWT `tools-list.security` scheme missing from the root `security` list, alternative (OR) security requirements with an API key, or an `x-google-model-router` operation in an MCP spec) and re-run the script until it exits with code `0` (`status: "PASS"`). If it exits with code `2`, fix the file path or YAML syntax error printed to stderr.
   - Read every warning (such as an `HTTP 204` response, a request parameter that is not a primitive type, or operations that an `mcp` object exposes by default). Fix it, or tell the user why you keep it.
3. **Create the API (if new), create the API config, deploy the gateway, and enable the managed service (request human approval before updating a production gateway):**
   ```bash
   gcloud api-gateway apis create {api_id} --project={project_id}

   gcloud api-gateway api-configs create {config_id} \
     --api={api_id} \
     --openapi-spec={candidate_openapi_spec} \
     --backend-auth-service-account={gateway_sa_name}@{project_id}.iam.gserviceaccount.com \
     --project={project_id}

   gcloud api-gateway gateways update {gateway_id} \
     --api={api_id} \
     --api-config={config_id} \
     --location={region} \
     --project={project_id}

   gcloud services enable $(gcloud api-gateway apis describe {api_id} --project={project_id} --format="value(managedService)") --project={project_id}
   ```
    *(For a brand-new gateway, run `gcloud api-gateway gateways create {gateway_id} ...` instead of `gateways update`).*
   - Run one `api-configs create` at a time per API. Wait for it to finish before you start the next one, because API Gateway creates only one config for an API at a time. A complex API config can take up to ten minutes to create.
   - If clients use API keys from other projects, enable the managed service in each of those projects too. API Gateway rejects an API key unless the API is enabled in the project that created the key.
4. **Verify the JSON-RPC 2.0 lifecycle and connect ADK / API hub:**
   - Send every probe to `https://{default_hostname}/mcp`, even when the spec sets a `servers` base path.
   - An HTML `404 Page not found` means that the gateway may not be deployed correctly. Check that the gateway state is `ACTIVE` and that the last create or update finished, and retry before you change the config. During a gateway update, some requests can still reach the previous API config. A JSON 404 (`The current request is not defined by this API.`) means that the active config does not define the path.
   - If `tools/list` requires a JWT, mint a Google ID token whose audience is in `x-google-auth.audiences`: `gcloud auth print-identity-token --impersonate-service-account={caller_sa_email} --audiences={jwt_audience}`. If `tools/list` requires an API key, send it in the `x-api-key` header.
   - Run the `initialize`, `notifications/initialized`, `tools/list`, and `tools/call` verification probes in [MCP Verification and Troubleshooting](references/mcp-limitations-and-troubleshooting.md).
   - Connect Google ADK (`McpToolset`) and verify automatic catalog discovery in Apigee API hub (`{your_api} (MCP)`) and Agent Registry using [ADK and API Hub Discovery](references/adk-and-api-hub-discovery.md).

## Pre-Deployment Checklist

- [ ] Specification version is `openapi: 3.0.x` or `3.1.x` (not `swagger: "2.0"`), omits `x-google-allow`, and does not contain `x-google-model-router`.
- [ ] `python3 scripts/validate_mcp_openapi.py --spec={candidate_openapi_spec}` returns `status: "PASS"` (exit code `0`).
- [ ] Every operation has an `operationId`, and all MCP operations are in one OpenAPI document.
- [ ] `x-google-api-management.mcp.tools-list.security` names exactly one scheme: an `oauth2` JWT scheme with `x-google-auth` that the root `security` list also references, or an `apiKey` scheme with `in: header` and `name: x-api-key`.
- [ ] If `tools/list` uses a JWT scheme, the user knows that REST operations without their own `security` now require that JWT.
- [ ] Administrative, health-check, and `HTTP 204` endpoints are opted out with `x-google-mcp-tool: false`, and opted-out admin paths remain protected on REST.
- [ ] MCP clients call `https://{default_hostname}/mcp` (not `{basepath}/mcp`), nest `tools/call` JSON request bodies inside `params.arguments.body`, and send `MCP-Protocol-Version: 2025-11-25`.

## Resource Cleanup

To avoid ongoing charges when tearing down a test or staging environment, request human approval and delete the gateway, API config, API, and service account in dependency order:

```bash
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}
```

© google · Apache-2.0 · google/skills

See also

Project sponsors

Companies that keep this analytics open
Gold sponsor

Impressions, clicks and code copies — open statistics. We keep the numbers public for the same reason NeBlask itself is public. Become a sponsor