Amazon S3 MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Amazon S3 as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="amazon_s3_agent",
instruction=(
"You help users interact with Amazon S3 "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Amazon S3 as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Amazon S3 MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Amazon S3 via MCP
Why Use Google ADK with the Amazon S3 MCP Server
Google ADK provides unique advantages when paired with Amazon S3 through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Amazon S3
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Amazon S3 tools with BigQuery, Vertex AI, and Cloud Functions
Amazon S3 + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Amazon S3 MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Amazon S3 and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Amazon S3 tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Amazon S3 regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Amazon S3
Amazon S3 MCP Tools for Google ADK (10)
These 10 tools become available when you connect Amazon S3 to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Amazon S3 to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAmazon S3 + Google ADK FAQ
Common questions about integrating Amazon S3 MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Amazon S3 to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.