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Optimize
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Google Cloud Data MCP Server
for AI Agents
Production-ready Google Cloud Data MCP server with 43 extensible actions — plus built-in authentication, security, and optimized execution.
Google Cloud Data MCP Server
Built by 
StackOne
StackOne 
Coverage
43 Agent Actions
Create, read, update, and delete across Google Cloud Data — and extend your agent's capabilities with custom 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 43 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 Data MCP Tools and Actions
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
- 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
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
- 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 (13)
- 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
- 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
- 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
Agent Frameworks
JSON{
"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>"
]
}
}
}Google Cloud Data 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 Data MCP Server FAQ
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.
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.