Amazon DynamoDB Table MCP Server for Google ADKGive Google ADK instant access to 5 tools to Delete Item, Get Item, Put Item, and more
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Amazon DynamoDB Table as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Amazon DynamoDB Table MCP Server for Google ADK is a standout in the Industry Titans category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom 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_dynamodb_table_agent",
instruction=(
"You help users interact with Amazon DynamoDB Table "
"using 5 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 DynamoDB Table MCP Server
This server strips away dangerous global AWS permissions. It gives your AI agent one surgical superpower: the ability to query, insert, and update items inside one specific DynamoDB Table.
Google ADK natively supports Amazon DynamoDB Table as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
By strictly scoping access, your AI can safely manage structured data, store chat histories, and process complex NoSQL queries without ever touching your critical cloud databases.
The Superpowers
- Absolute Containment: The agent is locked to a single table. It cannot list other tables or drop your production data.
- Native DynamoDB Integration: Direct interactions with DynamoDB, supporting complex queries and indexes.
- Plug & Play Database: Instantly gives your agent a scalable NoSQL database to store structured memories and application state.
The Amazon DynamoDB Table MCP Server exposes 5 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 Amazon DynamoDB Table tools available for Google ADK
When Google ADK connects to Amazon DynamoDB Table through Vinkius, your AI agent gets direct access to every tool listed below — spanning nosql, aws, database-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Delete item on Amazon DynamoDB Table
Delete an item from the DynamoDB table
Get item on Amazon DynamoDB Table
Get an item from the DynamoDB table
Put item on Amazon DynamoDB Table
Put an item into the DynamoDB table
Query table on Amazon DynamoDB Table
Query the DynamoDB table
Scan table on Amazon DynamoDB Table
Scan the DynamoDB table
Connect Amazon DynamoDB Table to Google ADK via MCP
Follow these steps to wire Amazon DynamoDB Table into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Amazon DynamoDB Table MCP Server
Google ADK provides unique advantages when paired with Amazon DynamoDB Table 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 DynamoDB Table
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 DynamoDB Table tools with BigQuery, Vertex AI, and Cloud Functions
Amazon DynamoDB Table + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Amazon DynamoDB Table MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Amazon DynamoDB Table and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Amazon DynamoDB Table tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Amazon DynamoDB Table 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 DynamoDB Table
Example Prompts for Amazon DynamoDB Table in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Amazon DynamoDB Table immediately.
"Fetch the user with ID '123' from the table."
"Add a new record for order 'ORD-999'."
"Scan the table for all inactive users."
Troubleshooting Amazon DynamoDB Table MCP Server with Google ADK
Common issues when connecting Amazon DynamoDB Table to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAmazon DynamoDB Table + Google ADK FAQ
Common questions about integrating Amazon DynamoDB Table 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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