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Google Cloud Storage MCP Server
for AI Agents

Production-ready Google Cloud Storage MCP server with 30 extensible actions — plus built-in authentication, security, and optimized execution.

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Google Cloud Storage MCP Server
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30 Agent Actions

Create, read, update, and delete across Google Cloud Storage — and extend your agent's capabilities with custom actions.

MCP Actions → Create Actions →

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every Google Cloud Storage tool response scanned for prompt injection in milliseconds — 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 Storage call.

Tools Discovery →

What is the Google Cloud Storage MCP Server?

A Google Cloud Storage MCP server lets AI agents read and write Google Cloud Storage data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Google Cloud Storage MCP server ships with 30 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, and optimized agent context. Connect it from MCP clients like Claude Desktop, Cursor, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All Google Cloud Storage MCP Tools and Actions

Every action from Google Cloud Storage's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Bucket ACLs

  • List Bucket ACLs

    List access control entries for a bucket (legacy; use IAM where possible)

  • Get Bucket ACL

    Get a specific access control entry for a bucket (legacy; use IAM where possible)

Object ACLs

  • List Object ACLs

    List access control entries for an object (legacy; use IAM where possible)

  • Get Object ACL

    Get a specific access control entry for an object (legacy; use IAM where possible)

Default Object ACLs

  • List Default Object ACLs

    List default access control entries for objects in a bucket (legacy; use IAM where possible)

  • Get Default Object ACL

    Get a specific default object access control entry for a bucket (legacy; use IAM where possible)

Test Auths

  • Test Auth

    Verify Google Cloud Storage credentials

Buckets

  • Create Bucket

    Create a new bucket in a Google Cloud project

  • List Buckets

    List all buckets in a Google Cloud project

  • Get Bucket

    Get metadata for a specific bucket

  • Update Bucket

    Replace metadata for an existing bucket (full-replace PUT semantics)

  • Delete Bucket

    Delete a bucket

HMAC Keys

  • Create HMAC Key

    Create an HMAC key for a service account

  • List HMAC Keys

    List HMAC keys for a project

  • Get HMAC Key

    Get metadata for an HMAC key

  • Update HMAC Key

    Update the state of an HMAC key

  • Delete HMAC Key

    Delete an HMAC key

Bucket IAM Policys

  • Get Bucket IAM Policy

    Get the IAM policy for a bucket

  • Set Bucket IAM Policy

    Set the IAM policy for a bucket

Test Bucket IAM Permissions

  • Test Bucket IAM Permissions

    Test IAM permissions on a bucket

Notifications

  • Create Notification

    Create a notification configuration for a bucket

  • List Notifications

    List notification configurations for a bucket

  • Get Notification

    Get a specific notification configuration for a bucket

  • Delete Notification

    Delete a notification configuration from a bucket

Objects

  • Copy Object

    Copy an object to a destination bucket and path

  • List Objects

    List objects in a bucket

  • Get Object

    Get metadata for an object in a bucket

  • Delete Object

    Delete an object from a bucket

Compose Objects

  • Compose Objects

    Compose multiple objects into a single destination object

Service Accounts

  • Get Service Account

    Get the GCS service account for a project

Set Up Your Google Cloud Storage MCP Server in Minutes

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

MCP Clients

Agent Frameworks

Claude Desktop
{
  "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>"
      ]
    }
  }
}

More Cloud Storage MCP Servers

Dropbox

82+ actions

Box

81+ actions

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47+ actions

Microsoft OneDrive

46+ actions

Azure Blob Storage

26+ actions

SharePoint

19+ actions

All Cloud Storage MCP Servers →

Google Cloud Storage MCP Server Resources

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

11 min

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

Google Cloud Storage MCP Server FAQ

Google Cloud Storage MCP server vs direct API integration — what's the difference?
A Google Cloud Storage MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Google Cloud Storage. A Google Cloud Storage MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Google Cloud Storage at runtime. StackOne provides both.
How does Google Cloud Storage authentication work for AI agents?
Google Cloud Storage authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Google Cloud Storage 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 Storage MCP tools vulnerable to prompt injection?
Yes — Google Cloud Storage MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — 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 — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Google Cloud Storage agent and how do I avoid it?
Context bloat happens when Google Cloud Storage tool schemas and API responses eat your Google Cloud Storage agent's memory, preventing it from reasoning effectively. A single Google Cloud Storage query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Google Cloud Storage agent can access?
Yes — you can limit which actions your Google Cloud Storage 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 Storage MCP server?
Yes — you can create custom agent actions for your Google Cloud Storage MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Google Cloud Storage'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 Storage MCP server?
Skip a Google Cloud Storage MCP server if your integration is purely software-to-software — direct Google Cloud Storage 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 Storage actions at runtime.
What AI frameworks and AI clients does the StackOne Google Cloud Storage MCP server support?
The StackOne Google Cloud Storage 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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All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.

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