Google Cloud Storage MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Google Cloud Storage through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"google-cloud-storage": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Google Cloud Storage Agent",
instructions:
"You help users interact with Google Cloud Storage " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Google Cloud Storage?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Google Cloud Storage MCP Server
Connect your Google Cloud Storage project to your AI agent and streamline your cloud data management. Use natural language to browse buckets, inspect file metadata, manage object lifecycles, and audit security permissions across your global storage infrastructure.
Mastra's agent abstraction provides a clean separation between LLM logic and Google Cloud Storage tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Bucket Exploration — List all buckets in your project and retrieve detailed metadata including location and storage class
- Object Management — Browse files within buckets using prefixes (folders), view sizes, and delete or copy objects effortlessly
- Data Operations — Upload text-based content directly or initiate object copies between buckets via simple commands
- Security Auditing — Check Access Control Lists (ACLs) and IAM policies for both buckets and individual objects to ensure compliance
- Project Insights — Retrieve service account details and manage HMAC keys for legacy or cross-cloud integrations
The Google Cloud Storage MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Google Cloud Storage to Mastra AI via MCP
Follow these steps to integrate the Google Cloud Storage MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Google Cloud Storage via MCP
Why Use Mastra AI with the Google Cloud Storage MCP Server
Mastra AI provides unique advantages when paired with Google Cloud Storage through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Google Cloud Storage without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Google Cloud Storage tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Google Cloud Storage + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Google Cloud Storage MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Google Cloud Storage, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Google Cloud Storage as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Google Cloud Storage on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Google Cloud Storage tools alongside other MCP servers
Google Cloud Storage MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Google Cloud Storage to Mastra AI via MCP:
copy_object
Copy an object within or between buckets
delete_object
Remove an object from a bucket
get_bucket_iam
Get IAM policy for a bucket
get_bucket_metadata
Get metadata for a specific bucket
get_object_metadata
Get metadata for a specific object (file)
get_project_service_account
Check the storage service account for the project
list_bucket_acl
Check bucket permissions
list_buckets
List all buckets in the project
list_hmac_keys
List HMAC keys for a service account
list_object_acl
Check permissions for a specific object
list_objects
List objects within a bucket
upload_object
Upload a new file to a bucket
Example Prompts for Google Cloud Storage in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Google Cloud Storage immediately.
"List all buckets in my Google Cloud project."
"Find all files in bucket 'prod-assets' that start with 'images/2024/'."
"Check who has access to the 'user-uploads-data' bucket."
Troubleshooting Google Cloud Storage MCP Server with Mastra AI
Common issues when connecting Google Cloud Storage to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGoogle Cloud Storage + Mastra AI FAQ
Common questions about integrating Google Cloud Storage MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Google Cloud Storage with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Google Cloud Storage to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.