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Google Cloud Data MCP Server
for AI Agents

Connect your AI agent to StackOne's Google Cloud Data MCP server and give it 50 MCP tools out of the box. Auth, tool execution, and security all managed.

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Google Cloud Data MCP Server
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50 Agent Actions

Create, read, update, and delete across Google Cloud Data — and 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 Data MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Google Cloud Data 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 Data call.

Tools Discovery →

What is the Google Cloud Data MCP Server?

A Google Cloud Data MCP server lets AI agents read and write Google Cloud Data data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Google Cloud Data MCP server ships with 50 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 Data MCP Tools

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

Pub/Sub Schemas

  • Create Pub/Sub Schema

    Create a new Pub/Sub schema

  • List Pub/Sub Schemas

    List all schemas in a project

  • Get Pub/Sub Schema

    Get details of a specific Pub/Sub schema

  • Delete Pub/Sub Schema

    Delete a Pub/Sub schema

Pub/Sub Subscriptions

  • Create Pub/Sub Subscription

    Create a new Pub/Sub subscription

  • List Pub/Sub Subscriptions

    List all subscriptions in a project

  • Get Pub/Sub Subscription

    Get details of a specific Pub/Sub subscription

  • Update Pub/Sub Subscription

    Update a Pub/Sub subscription

  • Delete Pub/Sub Subscription

    Delete a Pub/Sub subscription

Pub/Sub Topics

  • Create Pub/Sub Topic

    Create a new Pub/Sub topic

  • List Pub/Sub Topics

    List all topics in a project

  • Get Pub/Sub Topic

    Get details of a specific Pub/Sub topic

  • Update Pub/Sub Topic

    Update a Pub/Sub topic

  • Delete Pub/Sub Topic

    Delete a Pub/Sub topic

Cloud SQL Backup Runs

  • List Cloud SQL Backup Runs

    List all backup runs for a Cloud SQL instance

  • Get Cloud SQL Backup Run

    Get details of a specific backup run

Cloud SQL Backups

  • Create Cloud SQL Backup

    Create an on-demand backup for a Cloud SQL instance

  • Delete Cloud SQL Backup

    Delete a specific backup run

Cloud SQL Databases

  • Create Cloud SQL Database

    Create a new database in a Cloud SQL instance

  • List Cloud SQL Databases

    List all databases in a Cloud SQL instance

  • Get Cloud SQL Database

    Get details of a specific database in a Cloud SQL instance

  • Update Cloud SQL Database

    Update a database in a Cloud SQL instance

  • Delete Cloud SQL Database

    Delete a database from a Cloud SQL instance

Cloud SQL Instances

  • Create Cloud SQL Instance

    Create a new Cloud SQL instance

  • Clone Cloud SQL Instance

    Clone a Cloud SQL instance to a new instance

  • List Cloud SQL Instances

    List all Cloud SQL instances in a project

  • Get Cloud SQL Instance

    Get details of a specific Cloud SQL instance

  • Update Cloud SQL Instance

    Update settings of a Cloud SQL instance

  • Delete Cloud SQL Instance

    Delete a Cloud SQL instance

Cloud SQL Users

  • Create Cloud SQL User

    Create a new user in a Cloud SQL instance

  • List Cloud SQL Users

    List all users in a Cloud SQL instance

  • Get Cloud SQL User

    Get details of a specific user in a Cloud SQL instance

  • Update Cloud SQL User

    Update a user in a Cloud SQL instance

  • Delete Cloud SQL User

    Delete a user from a Cloud SQL instance

Other (16)

  • Publish Pub/Sub Messages

    Publish messages to a Pub/Sub topic

  • List Topic Subscriptions

    List subscriptions attached to a Pub/Sub topic

  • List Cloud SQL Operations

    List operations for a Cloud SQL instance

  • Validate Pub/Sub Schema

    Validate a Pub/Sub schema definition

  • Commit Pub/Sub Schema Revision

    Commit a new revision of a Pub/Sub schema

  • Detach Pub/Sub Subscription

    Detach a Pub/Sub subscription from its topic

  • Pull Pub/Sub Messages

    Pull messages from a Pub/Sub subscription

  • Acknowledge Pub/Sub Messages

    Acknowledge received Pub/Sub messages

  • Modify Ack Deadline

    Modify the acknowledgment deadline for Pub/Sub messages

  • Seek Pub/Sub Subscription

    Seek a Pub/Sub subscription to a point in time or snapshot

  • Restore Cloud SQL Backup

    Restore a Cloud SQL instance from a backup run

  • Test Auth

    Verify Google Cloud Data credentials

  • Restart Cloud SQL Instance

    Restart a Cloud SQL instance

  • Start Cloud SQL Replica

    Start replication on a read replica instance

  • Stop Cloud SQL Replica

    Stop replication on a read replica instance

  • Failover Cloud SQL Instance

    Initiate a manual failover of a high-availability Cloud SQL instance

Set Up Your Google Cloud Data MCP Server in Minutes

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

MCP Clients

Claude Desktop setup guide
Claude Code setup guide
Cursor setup guide
Goose setup guide

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>"
      ]
    }
  }
}

Platform 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

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

MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.

12 min

MCP vs API: What 200+ Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.

14 min read

Google Cloud Data MCP Server FAQ

Does StackOne have a Google Cloud Data MCP server?
Yes. StackOne offers a hosted Google Cloud Data MCP server with 50 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 Data MCP server vs direct API integration — what's the difference?
A Google Cloud Data MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Google Cloud Data. A Google Cloud Data 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 Data at runtime. StackOne provides both.
How does Google Cloud Data authentication work for AI agents?
Google Cloud Data 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 Data 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 Data MCP tools vulnerable to prompt injection?
Yes — Google Cloud Data 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 Data agent and how do I avoid it?
Context bloat happens when Google Cloud Data tool schemas and API responses eat your Google Cloud Data agent's memory, preventing it from reasoning effectively. A single Google Cloud Data 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 Data agent can access?
Yes — you can limit which actions your Google Cloud Data 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 Data MCP server?
Yes — you can create custom agent actions for your Google Cloud Data MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Google Cloud Data'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 Data MCP server?
Skip a Google Cloud Data MCP server if your integration is purely software-to-software — direct Google Cloud Data 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 Data actions at runtime.
What AI frameworks and AI clients does the StackOne Google Cloud Data MCP server support?
The StackOne Google Cloud Data 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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