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api-gateway-mcp-server

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)

Install / Use

npx skills add google/skills --skill api-gateway-mcp-server

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

93/100

Supported Platforms

Universal

Our assessment of api-gateway-mcp-server

api-gateway-mcp-server scores 93/100 on our quality scale, 82nd of 442 Education & Research skills we index (top 19%).

Its SKILL.md is 16 KB long, split into 7 sections with 1 code example: a thorough specification that gives an agent plenty to work with.

With 20,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
15/20
Description
15/15
Adoption
18/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 26 days ago, so api-gateway-mcp-server is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-10-20. Automated pattern scan on 2026-10-20. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

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All 4 of these similar skills score higher than api-gateway-mcp-server; compare them before choosing.

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Frequently asked questions

How do I install api-gateway-mcp-server?
Run npx skills add google/skills --skill api-gateway-mcp-server. The install tabs above show the steps for each supported agent.
Which AI agents does api-gateway-mcp-server work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is api-gateway-mcp-server safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is api-gateway-mcp-server still maintained?
The repository was last updated 26 days ago, so api-gateway-mcp-server is actively maintained.

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. 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. 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:
      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.
    • Use us-central1 as the default --location for gateway commands. For the other supported regions, see API Gateway deployment model.
  4. Enable the required Google Cloud APIs:
    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.

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 | | 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 | | 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 | | 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 | | 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 |

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 covers each Swagger 2.0 construct, and the 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 and OpenAPI Agent Tool Optimizer 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}:
      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 th

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars20.3k
CategoryEducation
Updated26d ago
Forks1.7k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions