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Google Cloud Compute MCP Server
for AI Agents

Connect your AI agent to StackOne's Google Cloud Compute MCP server and give it 64 MCP tools out of the box. Auth, tool execution, and security all managed.

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Google Cloud Compute MCP Server

Built by

StackOne

Coverage

64 Agent Actions

Extend your agent's capabilities with custom actions.

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your Google Cloud Compute MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Google Cloud Compute tool response scanned for prompt injection in milliseconds, with 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Google Cloud Compute call.

Tools Discovery →

What is the Google Cloud Compute MCP Server?

A Google Cloud Compute MCP server lets AI agents work with Google Cloud Compute data through the Model Context Protocol, Anthropic's open standard for connecting LLMs to external tools. StackOne's Google Cloud Compute MCP server ships with 64 pre-built actions, fully extensible via the Connector Builder, plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All Google Cloud Compute MCP Tools

Every StackOne action for Google Cloud Compute, ready for your agent. Scoped to exactly what you need.

Artifact Repositorys

Create Artifact Repository
Create an Artifact Registry repository in a location
Get Artifact Repository
Get details of a specific Artifact Registry repository
Delete Artifact Repository
Delete an Artifact Registry repository

Artifact Packages

List Artifact Packages
List packages in an Artifact Registry repository
Get Artifact Package
Get details of a specific package in Artifact Registry

Artifact Docker Images

List Artifact Docker Images
List Docker images in an Artifact Registry repository
Get Artifact Docker Image
Get details of a specific Docker image in Artifact Registry

Cloud Functions

Create Cloud Function
Create a Cloud Function in a location
List Cloud Functions
List Cloud Functions in a specific location
Get Cloud Function
Get details of a specific Cloud Function
Delete Cloud Function
Delete a Cloud Function

Cloud Run Services

Create Cloud Run Service
Create a Cloud Run service in a location
List Cloud Run Services
List Cloud Run services in a specific location
Get Cloud Run Service
Get details of a specific Cloud Run service
Delete Cloud Run Service
Delete a Cloud Run service

Cloud Run Revisions

List Cloud Run Revisions
List revisions of a Cloud Run service
Get Cloud Run Revision
Get details of a specific Cloud Run revision

Cloud Run Jobs

Create Cloud Run Job
Create a Cloud Run job in a location
List Cloud Run Jobs
List Cloud Run jobs in a specific location
Get Cloud Run Job
Get details of a specific Cloud Run job

Cloud Run Job Executions

List Cloud Run Job Executions
List executions of a Cloud Run job
Get Cloud Run Job Execution
Get details of a specific Cloud Run job execution

Disks

List Disks
List persistent disks in a specific zone
Get Disk
Get details of a specific persistent disk
Delete Disk
Delete a persistent disk

Snapshots

List Snapshots
List persistent disk snapshots in a GCP project
Get Snapshot
Get details of a specific snapshot
Delete Snapshot
Delete a snapshot

Images

List Images
List images in a GCP project
Get Image
Get details of a specific image

Instance Groups

List Instance Groups
List instance groups in a specific zone
Get Instance Group
Get details of a specific instance group
Delete Instance Group
Delete an unmanaged instance group

Managed Instance Groups

List Managed Instance Groups
List managed instance group managers in a specific zone
Get Managed Instance Group
Get details of a specific managed instance group manager
Delete Managed Instance Group
Delete a managed instance group and its instances

Instances

List Instances
List VM instances in a specific zone
Get Instance
Get details of a specific VM instance
Delete Instance
Delete a VM instance

Compute Zones

List Compute Zones
List all available zones in a GCP project
Get Compute Zone
Get details of a specific zone in a GCP project

Compute Regions

List Compute Regions
List all available regions in a GCP project
Get Compute Region
Get details of a specific region in a GCP project

Other (21)

Create Disk Snapshot
Create a snapshot of a persistent disk
List Artifact Repositories
List Artifact Registry repositories in a specific location
List Artifact Versions
List versions of a package in Artifact Registry
List Instance Group Instances
List instances in a specific instance group
List Instances (Aggregated)
List VM instances across all zones in a project
Get Zone Operation
Get the status of a zonal Compute Engine operation
Patch Cloud Function
Update a Cloud Function
Patch Cloud Run Service
Update a Cloud Run service
Run Cloud Run Job
Start an execution of a Cloud Run job
Insert Disk
Create a persistent disk in a zone
Insert Image
Create a custom image in a GCP project
Resize Managed Instance Group
Resize a managed instance group to the specified size
Insert Instance Group
Create an unmanaged instance group in a zone
Insert Managed Instance Group
Create a managed instance group in a zone
Start Instance
Start a stopped VM instance
Stop Instance
Stop a running VM instance
Reset Instance
Reset a VM instance (hard reset)
Suspend Instance
Suspend a running VM instance
Resume Instance
Resume a suspended VM instance
Insert Instance
Create a VM instance in a zone
Test Auth
Verify Google Cloud Compute credentials

Set Up Your Google Cloud Compute MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Google Cloud Compute in under 10 lines of code.

MCP Clients

Agent Frameworks

Claude Desktop-

JSON

Claude Desktop Docs

{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

Platform Resources

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Indirect Prompt Injection Defense for MCP Tools: A Technical Guide

MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.

12 min

MCP vs A2A: Architecture, Security, and When to Use Each

MCP vs A2A: what each protocol standardizes, how they differ, the security risks they share, and when to use one, both or a hybrid.

12 min

MCP vs API: What Hundreds of Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building hundreds of connectors that serve both, here's when each approach wins.

14 min read

Google Cloud Compute MCP Server FAQ

Does StackOne have a Google Cloud Compute MCP server?

Yes. StackOne offers a managed Google Cloud Compute MCP server with 64 pre-built actions, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.

Google Cloud Compute MCP server vs direct API integration: what's the difference?

A Google Cloud Compute MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software work, where backend code calls Google Cloud Compute. A Google Cloud Compute MCP server is for AI agents that discover and call Google Cloud Compute at runtime, such as MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI. StackOne provides both.

How does Google Cloud Compute authentication work for AI agents?

Google Cloud Compute authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK to get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Google Cloud Compute account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.

Are Google Cloud Compute MCP tools vulnerable to prompt injection?

Yes. Google Cloud Compute MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content, such as documents, messages, tickets, records, or free-text fields, is a potential vector. StackOne Defender scans every tool response before it enters the agent's context. It runs regex patterns in ~1ms, then a MiniLM classifier in ~4ms. Accuracy is 88.7%, and it runs entirely on CPU.

What is the context bloat of a Google Cloud Compute agent and how do I avoid it?

Context bloat happens when Google Cloud Compute tool schemas and API responses eat your Google Cloud Compute agent's memory, preventing it from reasoning effectively. A single Google Cloud Compute query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery reduces it by loading only the tools relevant to each query.

Can I limit which actions my Google Cloud Compute agent can access?

Yes. You can limit which actions your Google Cloud Compute agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.

Can I create custom agent actions for my Google Cloud Compute MCP server?

Yes. You can create custom agent actions for your Google Cloud Compute MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Google Cloud Compute's API, generate production-ready connector YAML, test against the live API, and validate before you ship.

When should I NOT use a Google Cloud Compute MCP server?

Skip a Google Cloud Compute MCP server if your integration is purely software-to-software, because direct Google Cloud Compute API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Google Cloud Compute actions at runtime.

What AI frameworks and AI clients does the StackOne Google Cloud Compute MCP server support?

The StackOne Google Cloud Compute MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

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Google Cloud Compute MCP Serverfor AI Agents