Amazon S3 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Amazon S3 through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"amazon-s3": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Amazon S3 Agent",
instructions:
"You help users interact with Amazon S3 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Amazon S3?"
);
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 Amazon S3 MCP Server
Connect your Amazon S3 environment to your AI agent to unlock professional cloud storage orchestration. From creating and auditing buckets to managing individual objects and their metadata, your agent handles your AWS data storage through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Amazon S3 tool infrastructure. Connect 10 tools through the 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 Orchestration — List your S3 buckets, create new ones, and retrieve their location or policy configurations
- Object Management — List objects within a specific bucket, including their size and last modified timestamps
- Data Ingestion — Upload objects directly to S3 or delete unwanted files to maintain your storage hygiene
- Metadata Auditing — Retrieve technical metadata (headers, content type, size) for specific objects without downloading them
- Security Oversight — Audit bucket ACLs and policies to ensure your cloud storage meets compliance requirements
The Amazon S3 MCP Server exposes 10 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 Amazon S3 to Mastra AI via MCP
Follow these steps to integrate the Amazon S3 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 10 tools from Amazon S3 via MCP
Why Use Mastra AI with the Amazon S3 MCP Server
Mastra AI provides unique advantages when paired with Amazon S3 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Amazon S3 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 Amazon S3 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
Amazon S3 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Amazon S3 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Amazon S3, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Amazon S3 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Amazon S3 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Amazon S3 tools alongside other MCP servers
Amazon S3 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Amazon S3 to Mastra AI via MCP:
create_bucket
Create an S3 bucket
delete_bucket
Delete an S3 bucket
delete_object
Delete an object
get_bucket_acl
Get bucket ACL
get_bucket_policy
Get bucket policy
get_object_data
Get object content
get_object_metadata
Get object metadata
list_buckets
List S3 buckets
list_objects
Can be filtered by prefix. List objects in bucket
put_object
Upload an object
Example Prompts for Amazon S3 in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Amazon S3 immediately.
"List all S3 buckets in my account."
"Show the top 10 objects in bucket 'data-lake-raw' starting with prefix '2026/03/'."
"Get the bucket policy for 'website-images-eu'."
Troubleshooting Amazon S3 MCP Server with Mastra AI
Common issues when connecting Amazon S3 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAmazon S3 + Mastra AI FAQ
Common questions about integrating Amazon S3 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 Amazon S3 with your favorite client
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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 Amazon S3 to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.